Triple

T2501465
Position Surface form Disambiguated ID Type / Status
Subject KCOM Stadium E52472 entity
Predicate city P40 FINISHED
Object Hull E18246 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: Hull | Statement: [KCOM Stadium, city, Hull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hull
Context triple: [KCOM Stadium, city, Hull]
  • A. Hull chosen
    Hull, formally known as Kingston upon Hull, is a port city in East Yorkshire, England, noted for its maritime heritage and role as a major North Sea trading hub.
  • B. Hull
    Hull is a small coastal town in eastern Massachusetts known for its beaches and seaside community on a narrow peninsula.
  • C. Hull
    Hull is a former city in western Quebec, Canada, that once stood on the north shore of the Ottawa River and is now part of the amalgamated city of Gatineau.
  • D. Hartlepool
    Hartlepool is a coastal town in County Durham, England, known historically for its shipbuilding and maritime heritage.
  • E. Grimsby
    Grimsby is a large coastal town and historic fishing port in North East Lincolnshire, England, known for its maritime heritage and seafood industry.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1c9f80c8190b40ada396e184e75 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8bc7708190a507136d1f9f34ca completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.