Triple

T2649744
Position Surface form Disambiguated ID Type / Status
Subject Haslingden E53867 entity
Predicate administrativeCentreOf P1474 FINISHED
Object Haslingden civil parish E53867 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: Haslingden civil parish | Statement: [Haslingden, administrativeCentreOf, Haslingden civil parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haslingden civil parish
Context triple: [Haslingden, administrativeCentreOf, Haslingden civil parish]
  • A. Haslingden chosen
    Haslingden is a small former mill town in Lancashire, England, known for its industrial heritage and location within the Rossendale Valley.
  • B. Haslingfield
    Haslingfield is a rural village and civil parish in the district of South Cambridgeshire in eastern England, known for its historic church and agricultural surroundings.
  • C. East Harling
    East Harling is a village and civil parish in Norfolk, England, known for its historic church and rural setting within the Breckland area.
  • D. Dersingham
    Dersingham is a coastal village in Norfolk, England, known for its proximity to the Royal Sandringham Estate and the nearby Dersingham Bog nature reserve.
  • E. Mirfield
    Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91ca1288190ba302b04bac4c153 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98cc2d9881908556b915a1870c02 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.