Triple

T28925094
Position Surface form Disambiguated ID Type / Status
Subject Jeannette Arctic expedition E733618 entity
Predicate shipSankIn P166021 FINISHED
Object Arctic Ocean NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Arctic Ocean | Statement: [Jeannette Arctic expedition, shipSankIn, Arctic Ocean]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shipSankIn
Context triple: [Jeannette Arctic expedition, shipSankIn, Arctic Ocean]
  • A. sunkBy
    Indicates that one entity (typically a vessel or structure) was caused to sink or be destroyed in water by another entity.
  • B. shipTypeSunk
    Indicates that a particular type of ship has been sunk as a result of some event or action.
  • C. shipsSunkOrTotalLoss
    Indicates that the referenced ships were sunk or otherwise rendered a total loss (permanently unusable).
  • D. sankWhile
    Indicates that one entity moved downward below a surface or level at the same time that another specified event or action was occurring.
  • E. wasSunkAs
    Indicates that an entity met its end by being sunk in a specified role, context, or capacity.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f05b0b49b08190b8994b339c7980f6 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65bb75cd08190bbdb63c093ad6210 completed May 2, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69f659d02f1c8190831758ac52bb54e4 completed May 2, 2026, 8:08 p.m.
PDg Predicate description generation batch_69f65b136b30819090cf59fb772f35f1 completed May 2, 2026, 8:14 p.m.
Created at: April 28, 2026, 8:23 a.m.