Triple

T13537721
Position Surface form Disambiguated ID Type / Status
Subject Spurs Women E323303 entity
Predicate basedIn P40 FINISHED
Object Tottenham E90601 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: Tottenham | Statement: [Spurs Women, basedIn, Tottenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tottenham
Context triple: [Spurs Women, basedIn, Tottenham]
  • A. Tottenham chosen
    Tottenham is a district in North London, England, known for its diverse community, urban character, and association with the football club Tottenham Hotspur.
  • B. Tottenham
    Tottenham is a small community in Ontario, Canada, known for its rural character and role as one of the primary population centres within the Town of New Tecumseth.
  • C. Tottenham Hotspur F.C.
    Tottenham Hotspur F.C. is a professional English football club based in North London that competes in the Premier League and is known for its attacking style and strong fan base.
  • D. Arsenal
    "Arsenal" is a 1929 Soviet silent film directed by Oleksandr Dovzhenko, renowned as a key work of the Soviet montage movement depicting the turmoil of the Ukrainian–Soviet War.
  • E. West Ham
    West Ham is a transport hub and residential district in East London known for its Underground and rail connections and proximity to major sporting venues.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3239c3bc8190a6838fe8f2f016bf completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 9:45 p.m.