Triple

T5528462
Position Surface form Disambiguated ID Type / Status
Subject South Stand E144985 entity
Predicate partOf P40 FINISHED
Object Abbey Stadium E12540 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: Abbey Stadium | Statement: [South Stand, partOf, Abbey Stadium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbey Stadium
Context triple: [South Stand, partOf, Abbey Stadium]
  • A. Abbey Stadium chosen
    Abbey Stadium is a football ground in Cambridge, England, best known as the long-time home of Cambridge United F.C.
  • B. London Road Stadium
    London Road Stadium is a football stadium in Peterborough, England, best known as the long-time home of Peterborough United F.C.
  • C. Cappielow Park
    Cappielow Park is a historic football stadium in Greenock, Scotland, best known as the long-time home ground of Greenock Morton F.C.
  • D. St Mary’s Stadium
    St Mary’s Stadium is a modern football ground in Southampton, England, serving as the home venue of Southampton Football Club.
  • E. Odsal Stadium
    Odsal Stadium is a historic sports venue in Bradford, England, best known as one of rugby league’s most iconic grounds and the long-time home of the Bradford Bulls.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f8b6c348190b7d414dc1907d09a completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a13624e081908a790e85258d8d49 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:34 p.m.