Dontopedia

Ship

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-27.)

Ship has 23 facts recorded in Dontopedia across 10 references, with 2 live disagreements.

23 facts·19 predicates·10 sources·2 in dispute

Mostly:rdf:type(3), fasting(2), essential to have protected gear(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (200)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

rdf:typeRdf:type(114)

isShipIs Ship(25)

isVesselTypeIs Vessel Type(9)

isAIs a(5)

isTypeIs Type(5)

classifiedAsClassified As(4)

isVesselIs Vessel(4)

hasVesselTypeHas Vessel Type(3)

isIs(3)

classifiesAsClassifies As(2)

ex:typeEx:type(2)

leftOnBoardLeft on Board(2)

anotherShipSailedWeekAfterAnother Ship Sailed Week After(1)

assembledToLookAtAssembled to Look at(1)

bossOfShipBoss of Ship(1)

capturedFromCaptured From(1)

escapedFromEscaped From(1)

ex:entity_typeEx:entity Type(1)

existsAsShipExists As Ship(1)

existsAsVesselExists As Vessel(1)

hasTypeHas Type(1)

importantPersonageOnShipImportant Personage on Ship(1)

includesIncludes(1)

involvesEntityInvolves Entity(1)

isClassifiedAsIs Classified As(1)

isClipperShipIs Clipper Ship(1)

isFastAndFavouriteIs Fast and Favourite(1)

isMaritimeVesselIs Maritime Vessel(1)

isMateIs Mate(1)

isTypeOfIs Type of(1)

keptInShadowOnShipKept in Shadow on Ship(1)

  • Aex:a

musteredAndPutOnBoardMustered and Put on Board(1)

neitherSignedOnNorShippedNeither Signed on Nor Shipped(1)

presupposesExistenceOfPresupposes Existence of(1)

Other facts (22)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

22 facts
PredicateValueRef
Rdf:typeVehicle[7]
Rdf:typeArtifact[8]
Rdf:typeLocation[9]
Fastingtrue[4]
FastingFast[5]
Essential to Have Protected Gearnull[1]
Presupposed Arrival VehicleFelix Diaz[2]
Went Back and AnchoredDinner Island[3]
Got Underway toLogea[3]
Proceeded On6thMilne Bay[3]
Anchored atNae Cutta Lydia Island[3]
Worst ProvidedShips[5]
Another Ship Sailed Week AfterShip[5]
Clean DecksDecks[5]
Cruised Bass Straits NightBass Straits[5]
Out Open Sea FortnightSea[5]
Sailed Northwards Week Sight LandLand[5]
Sails Spread Lying OverSails[5]
OrientationCareened[6]
Located NearShore[6]
LocationWine Dark Sea[8]
Skos:broaderVessel[10]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

essentialToHaveProtectedGeartrove-cooktown/cingalese
null
presupposedArrivalVehiclecooktown-hospital-registers
ex:felix-diaz
wentBackAndAnchoredtrove-cooktown/cobra-copra
ex:dinner-island
gotUnderwayTotrove-cooktown/cobra-copra
ex:logea
proceededOn6thtrove-cooktown/cobra-copra
ex:milne-bay
anchoredAttrove-cooktown/cobra-copra
ex:nae-cutta-lydia-island
fastingrosie-reynolds-massacre-connection/downloaded-archives-2026-05-05-2026-05-06-batch-06d374eec61a
true
worstProvidedrosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
ex:ships
anotherShipSailedWeekAfterrosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
ex:ship
cleanDecksrosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
ex:decks
cruisedBassStraitsNightrosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
ex:bass-straits
fastingrosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
ex:fast
outOpenSeaFortnightrosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
ex:sea
sailedNorthwardsWeekSightLandrosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
ex:land
sailsSpreadLyingOverrosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
ex:sails
orientationseven-sisters-of-sleep/47
ex:careened
locatedNearseven-sisters-of-sleep/47
ex:shore
typehamlet/62
ex:Vehicle
labelgreek/hesiod-works-and-days-pleiades
Ship
typegreek/hesiod-works-and-days-pleiades
ex:Artifact
locationgreek/hesiod-works-and-days-pleiades
ex:wine-dark-sea
typetp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
ex:Location
broadercompare/hyades-holo31-sweeps3-20260627/422
ex:vessel

References (10)

10 references
  1. [1]Cingalese1 fact
    ctx:genes/trove-cooktown/cingalese
  2. ctx:genes/cooktown-hospital-registers
  3. [3]Cobra Copra4 facts
    ctx:genes/trove-cooktown/cobra-copra
  4. ctx:genes/rosie-reynolds-massacre-connection/downloaded-archives-2026-05-05-2026-05-06-batch-06d374eec61a
  5. ctx:genes/rosie-reynolds-massacre-connection/downloaded-arch-b810aa879814
  6. [6]472 facts
    ctx:books/seven-sisters-of-sleep/47
    • full texttmpj3wwswug_seven-sisters-of-sleep_47
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      ing made into cartridges, and the men engaged in the work were smoking all the while. In the “Stettin Gazette,” lately appeared a notification that the Prussian clergy had privately been requested by the higher authorities to abstain from
  7. [7]621 fact
    ctx:books/hamlet/62
    • full texttmpgie3sgun_hamlet_62
      text/plain2 KBdoc:agent/tmpgie3sgun_hamlet_62/380a01bd-89a6-49d8-85a7-0b98c3f02420
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      FIRST SAILOR. He shall, sir, and’t please him. There’s a letter for you, sir. It comes from th’ambassador that was bound for England; if your name be Horatio, as I am let to know it is. HORATIO. [ Reads. ] ‘Horatio, when thou shalt have
  8. ctx:seven-sisters/greek/hesiod-works-and-days-pleiades
    • full texthesiod-works-and-days-pleiades
      text/plain6 KBdoc:agent/hesiod-works-and-days-pleiades/4da1b9e2-83bf-4db8-9219-cbd4be84cb88
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      --- title: Hesiod, Works and Days — Pleiades passages (all occurrences) culture: greek era: c. 700 BCE author: "Hesiod; trans. Christopher Kelk © 2020 (Poetry in Translation); secondary trans. Hugh G. Evelyn-White 1914 (Loeb / Wikisource)"
  9. tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
    • full textchunk-009
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      nighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei. Scaling laws for neural language models. arXiv [cs.LG], Jan. 2020. E. Mercado and S. Handel. Understanding the structure of humpback whale songs (l). The Jo
    • full textchunk-008
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      Marine Science, 11:1394695, 2024. J. A. Allen, E. C. Garland, C. Garrigue, R. A. Dunlop, and M. J. Noad. Song complexity is maintained during inter-population cultural transmission of humpback whale songs. Scientific reports, 12(1): 8999, 2
    • full textchunk-007
      text/plain3 KBdoc:agent/chunk-007/04710b2a-ba75-48cb-94b5-13d951854faa
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      atasets with thousands of classes can be high performing, even on out-of-domain down- stream tasks. Next, the ‘bittern lesson’ learned when training Perch 2.0 was that bird species classification in particular is a challenging su- pervision
    • full textchunk-006
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      = 8k = 16k = 8 k = 16k = 8 k = 16 GMWM0.8900.9140.7640.8210.9360.9540.868* 0.917*0.8230.855 SurfPerch 0.9320.9470.8590.9030.9810.9840.7960.8990.982* 0.986* Perch 1.0 0.9580.9680.9010.9310.9770.9810.8360.9050.9580.970 Perch 2.0 0.9
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      text/plain3 KBdoc:agent/chunk-005/31b9995b-056a-4dab-a3da-ede4fabae094
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      V2.348 kHz3.0102420.0MBirds, Frogs AVES-bio16 kHzVariable768 2 94.4MGeneral Audio BirdAVES (large)16 kHzVariable1024 3 315.4MGeneral Audio + Birds 4 Comparison models. As our goal is to provide guidance on which pretrained embedding models
    • full textchunk-004
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      ludes new classes unseen by the models. The classes used in the NOAA PIPAN evaluation set include anthropomorphic noise, unknown whale species, and the following baleen whale species: common minke whale, humpback whale, sei whale, blue whal
    • full textchunk-003
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      ained on log-mel spectrograms using a classification loss. Additionally, the model used a form of self-distillation and a self-supervised loss (in the form of source recording prediction) with the goal of producing strong embeddings that ar
    • full textchunk-002
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      ion as new sounds are discovered while not having large amounts of human labeled data. Despite these challenges, passive acoustic monitoring is a critical tool for marine conservation and ecology (Fleishman et al., 2023), and discoveries ab
    • full textchunk-001
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      Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind Abs
    • full textchunk-005
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      monitoring. Ecol. Inform., 61(101236):101236, Mar. 2021. 6 J. Kaplan, S. McCandlish, T. Henighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei. Scaling laws for neural language models. arXiv [cs.LG], Jan. 2020
    • full textchunk-004
      text/plain6 KBdoc:agent/chunk-004/597f88dd-b871-4083-99cd-a9a4484853ab
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      e datasets with thousands of classes can be high performing, even on out-of-domain down- stream tasks. Next, the ‘bittern lesson’ learned when training Perch 2.0 was that bird species classification in particular is a challenging su- pervis
    • full textchunk-003
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      ce on which pretrained embedding models should be used for agile modeling and transfer learning (with existing tools), we limit our comparisons to models supported in the Perch Hoplite Github repository 5 . We compare the performance of the
    • full textchunk-002
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      l of producing strong embeddings that are linearly separable for a wide range of bioacoustics tasks. Embeddings from the Perch model have shown successful generalization to tasks other than species classification (e.g., individual identific
    • full textchunk-001
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      Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind Abs
    • full texttoiletpaper-smoke-paper
      application/pdf24 KBtp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9
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      Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind A
  10. [10]4221 fact
    ctx:claims/compare/hyades-holo31-sweeps3-20260627/422
    • full textSTEAMERS DUE.
      text/plain301 Btrove:article/286999284
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      09 Jun 1891 - STEAMERS DUE. Evening Observer (Brisbane, Qld. : 1887 - 1907), Tuesday 9 June 1891, page 4 STEAMERS DUE. ’ From Sydney.—Rodondo on Thursday. I From China and Japan.—Guthric, s., to-day. I ...From Bundaberg.—Lady Musgrave to-j

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