Triple

T37262243
Position Surface form Disambiguated ID Type / Status
Subject Batavia shipwreck E924285 entity
Predicate numberOfSurvivorsInitiallyLanded P176761 FINISHED
Object approximately 280 LITERAL FINISHED

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: approximately 280 | Statement: [Batavia shipwreck, numberOfSurvivorsInitiallyLanded, approximately 280]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfSurvivorsInitiallyLanded
Context triple: [Batavia shipwreck, numberOfSurvivorsInitiallyLanded, approximately 280]
  • A. survivorsLandingPlace
    Indicates the location where survivors arrived or were brought after an incident or event.
  • B. estimatedNumberOfSurvivors chosen
    Indicates the approximate count of individuals expected to remain alive after a specific event or situation.
  • C. crewSurvivorsOnReturn
    Indicates that the members of a crew remained alive and successfully returned from a mission or journey.
  • D. survivorsOnRaft
    Indicates that certain individuals remain alive and present together on a specific raft after a hazardous or catastrophic event.
  • E. passengerSurvivors
    Indicates that the related passengers survived an incident or event.
  • F. None of above.

Provenance (3 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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:15 p.m.