Triple

T4702619
Position Surface form Disambiguated ID Type / Status
Subject Wigan Council E104310 entity
Predicate governs P760 FINISHED
Object Hindley E112385 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: Hindley | Statement: [Wigan Council, governs, Hindley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindley
Context triple: [Wigan Council, governs, Hindley]
  • A. Hindley chosen
    Hindley is a railway station in Greater Manchester, England, serving the town of Hindley on the line between Wigan and Manchester.
  • B. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • C. Lindley
    Lindley refers to John Lindley, a prominent 19th-century English botanist known for his influential work in plant taxonomy and classification.
  • D. Hensleigh
    Hensleigh is a masculine given name of English origin, notably borne by the 19th-century philologist and etymologist Hensleigh Wedgwood.
  • E. Elwyn
    Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.