Triple

T438359
Position Surface form Disambiguated ID Type / Status
Subject 1 train E10059 entity
Predicate servesArea P82 FINISHED
Object Chelsea E201 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: Chelsea | Statement: [1 train, servesArea, Chelsea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea
Context triple: [1 train, servesArea, Chelsea]
  • A. Chelsea chosen
    Chelsea is a small, densely populated city in Massachusetts located just across the Mystic River from downtown Boston.
  • B. Chelsea F.C.
    Chelsea F.C. is a professional English football club based in West London that competes in the Premier League and is known for its domestic and European successes.
  • C. Arsenal F.C.
    Arsenal F.C. is a major professional football club based in North London, renowned for its rich history, attacking style of play, and status as one of England’s most successful and popular teams.
  • D. 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.
  • E. 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.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef283be881909444aaf257451747 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a442a2d9f081909d24508d8a19c020 completed March 1, 2026, 1:44 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.