Triple

T30377739
Position Surface form Disambiguated ID Type / Status
Subject Battle between USS Constitution and HMS Cyane and HMS Levant E772736 entity
Predicate primaryOpponentOfUSSConstitution P203827 FINISHED
Object HMS Cyane E215527 NE 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: HMS Cyane | Statement: [Battle between USS Constitution and HMS Cyane and HMS Levant, primaryOpponentOfUSSConstitution, HMS Cyane]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryOpponentOfUSSConstitution
Context triple: [Battle between USS Constitution and HMS Cyane and HMS Levant, primaryOpponentOfUSSConstitution, HMS Cyane]
  • A. shipTypeUSSConstitution
    Indicates that the entity is of the same ship type or class as the USS Constitution.
  • B. opponentAtTrafalgar
    Indicates that one entity was an opposing side or adversary of the other in the Battle of Trafalgar.
  • C. primaryOpposingCommanderUS
    Indicates that the referenced person is the main opposing military commander of the United States in a given conflict or operation.
  • D. opponentAtBattleOffSamar
    Indicates that one entity served as an opposing force to another during the Battle off Samar.
  • E. opponentInAmericanCivilWar
    Indicates that two entities were on opposing sides in the American Civil War.
  • F. None of above. chosen

Provenance (5 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_69f2248e3444819081b05712dc6873de completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a02145017b08190bd424cc647c08d3b completed May 11, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac0a662c8190aac057f859c1762d completed June 9, 2026, 6 a.m.
PD Predicate disambiguation batch_6a021338e2b08190980c489ee44c18b3 completed May 11, 2026, 5:34 p.m.
PDg Predicate description generation batch_6a02144f627c81909ead77e8e6b8f84f completed May 11, 2026, 5:39 p.m.
Created at: April 29, 2026, 8 p.m.