Triple

T15350382
Position Surface form Disambiguated ID Type / Status
Subject High Crompton E367034 entity
Predicate partOf P40 FINISHED
Object Shaw and Crompton E75156 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: Shaw and Crompton | Statement: [High Crompton, partOf, Shaw and Crompton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaw and Crompton
Context triple: [High Crompton, partOf, Shaw and Crompton]
  • A. Shaw and Crompton chosen
    Shaw and Crompton is a town and civil parish in Greater Manchester, England, historically part of Lancashire and now within the Metropolitan Borough of Oldham.
  • B. Brighouse
    Brighouse is a market and industrial town in the metropolitan borough of Calderdale in northern England.
  • C. Moorside
    Moorside is a residential area within the Bury North parliamentary constituency in Greater Manchester, England.
  • D. Milnrow
    Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
  • E. Ancoats
    Ancoats is a historic inner-city district of Manchester, England, known for its former textile mills and canals and its transformation into a trendy residential and cultural area.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fd53688190939787a3d6ff3bb9 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.