Triple

T5707847
Position Surface form Disambiguated ID Type / Status
Subject Manchester City Women E125828 entity
Predicate associatedWithBrand P2830 FINISHED
Object Manchester City E1675 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: Manchester City | Statement: [Manchester City Women, associatedWithBrand, Manchester City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manchester City
Context triple: [Manchester City Women, associatedWithBrand, Manchester City]
  • A. Manchester City F.C. chosen
    Manchester City F.C. is a professional English football club based in Manchester that competes in the Premier League and is known for its recent domestic and European successes.
  • B. Leicester City F.C.
    Leicester City F.C. is a professional football club based in Leicester, England, best known for its stunning 2015–16 Premier League title win against 5000–1 odds.
  • C. Chelsea
    Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
  • D. Chelsea
    Chelsea is a small municipality in western Quebec, Canada, known for its scenic natural surroundings and proximity to Gatineau Park.
  • E. Chelsea
    Chelsea is a vampire in the Twilight series’ Volturi coven, known for her power to manipulate emotional bonds and loyalties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024892fd88190a91133fc88365410 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097e866088190bc7e820226d6a8fd completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:45 p.m.