Triple

T15119672
Position Surface form Disambiguated ID Type / Status
Subject BCFC E361134 entity
Predicate formerName P65 FINISHED
Object Small Heath E153060 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: Small Heath | Statement: [BCFC, formerName, Small Heath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Small Heath
Context triple: [BCFC, formerName, Small Heath]
  • A. Small Heath chosen
    Small Heath was an English football club from Birmingham that later became Birmingham City F.C., known for its early role in organized league football in the late 19th century.
  • B. Newton Heath
    Newton Heath was the original name of the English football club that later became Manchester United, one of the world’s most famous and successful teams.
  • C. Kings Heath
    Kings Heath is a suburban area of Birmingham, England, known for its vibrant high street, independent shops, and popular parks and music venues.
  • D. Bostall Heath
    Bostall Heath is a large public open space and woodland area in southeast London known for its walking paths, sports facilities, and natural scenery.
  • E. Thornton Heath
    Thornton Heath is a diverse residential district in South London known for its vibrant multicultural community and strong transport links into central London.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059e036c8190959ff3bde8f2356f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f2e3408190ae095d16396e420d completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.