Triple

T6846351
Position Surface form Disambiguated ID Type / Status
Subject Leah Williamson E157903 entity
Predicate partOf P40 FINISHED
Object Arsenal Women first team squad E78826 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: Arsenal Women first team squad | Statement: [Leah Williamson, partOf, Arsenal Women first team squad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsenal Women first team squad
Context triple: [Leah Williamson, partOf, Arsenal Women first team squad]
  • A. Arsenal W.F.C. chosen
    Arsenal W.F.C. is the women's football team of Arsenal, competing at the top level of English women's football and known as one of the most successful and historic clubs in the women's game.
  • B. Tottenham Hotspur Women
    Tottenham Hotspur Women is the professional women's football team affiliated with Tottenham Hotspur FC, competing in England's top-tier Women's Super League.
  • C. Chelsea Women
    Chelsea Women are a leading English professional women's football team, renowned for their domestic dominance in the FA Women's Super League and regular participation in European competitions.
  • D. England women’s national football team
    The England women’s national football team is the country’s top female soccer side, competing in major international tournaments such as the FIFA Women’s World Cup and UEFA Women’s Championship.
  • E. Arsenalna
    Arsenalna is a Kyiv Metro station best known for being one of the deepest underground metro stations in the world.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7cbe4488190b41ddf953f12f55f completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc42e688190baa8413883e5506c completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:20 p.m.