Triple

T9146929
Position Surface form Disambiguated ID Type / Status
Subject Filbert Fox E219479 entity
Predicate represents P129 FINISHED
Object Leicester City E42788 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: Leicester City | Statement: [Filbert Fox, represents, Leicester City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leicester City
Context triple: [Filbert Fox, represents, Leicester City]
  • A. Leicester City F.C. chosen
    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.
  • B. 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.
  • C. Tottenham
    Tottenham is a district in North London, England, known for its diverse community, urban character, and association with the football club Tottenham Hotspur.
  • D. 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.
  • E. Aston Villa
    Aston Villa is a historic English football club based in Birmingham, renowned as one of the country's oldest and most successful sides.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca918a3c881909c34a6a682eb2625 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d178be71188190bb9bdb719dd4d12d completed April 4, 2026, 8:46 p.m.
Created at: March 30, 2026, 7:20 p.m.