Triple

T27602589
Position Surface form Disambiguated ID Type / Status
Subject submarine tender Takasaki E700089 entity
Predicate navalRoleAfterConversion P164509 FINISHED
Object aircraft carrier 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: aircraft carrier | Statement: [submarine tender Takasaki, navalRoleAfterConversion, aircraft carrier]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: navalRoleAfterConversion
Context triple: [submarine tender Takasaki, navalRoleAfterConversion, aircraft carrier]
  • A. roleAfterNavalService
    Indicates the position or role an individual assumes following the completion of their naval service.
  • B. hasNavalRole
    Indicates that an entity holds or is assigned a role, function, or duty within a naval or maritime context.
  • C. successorRoleShip
    Indicates that one role succeeds or takes over from another role in a sequence or hierarchy.
  • D. navalEngagementRole
    Indicates the specific function or duty an entity performs within a naval engagement or maritime combat operation.
  • E. navalTacticRole
    Indicates the specific tactical function or role an entity performs within a naval operation or maritime combat context.
  • 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_69ef6a4e2e208190b63b7268f405785c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f64e6e8c9081908ce4d364aa26147a completed May 2, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
PDg Predicate description generation batch_69f64db8ee1881909362701d72ffe282 completed May 2, 2026, 7:17 p.m.
Created at: April 27, 2026, 2:08 p.m.