Triple

T4533256
Position Surface form Disambiguated ID Type / Status
Subject Michael Heseltine E106346 entity
Predicate representedDistrict P1239 FINISHED
Object Henley E37009 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: Henley | Statement: [Michael Heseltine, representedDistrict, Henley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henley
Context triple: [Michael Heseltine, representedDistrict, Henley]
  • A. Henley
    Henley is a small village and civil parish located in the county of Suffolk in eastern England.
  • B. Bray
    Bray is a picturesque village on the River Thames in Berkshire, England, noted for its historic charm and renowned fine-dining restaurants.
  • C. Henley-on-Thames chosen
    Henley-on-Thames is a historic English riverside town in Oxfordshire, best known for hosting the annual Henley Royal Regatta on the River Thames.
  • D. Windsor
    Windsor is a Canadian city in southwestern Ontario located directly across the Detroit River from Detroit, known for its automotive industry and role as a key border crossing between Canada and the United States.
  • E. Windsor
    Windsor is a village in south-central Wisconsin, United States, located just north of the city of Madison.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57a08ec4819091b84d53d7b564a7 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacea41bc8190b49c9d1a31d7930f completed March 20, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:04 p.m.