Triple

T6782905
Position Surface form Disambiguated ID Type / Status
Subject Tameside General Hospital E155727 entity
Predicate replaced P101 FINISHED
Object Dukinfield Hospital E155727 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: Dukinfield Hospital | Statement: [Tameside General Hospital, replaced, Dukinfield Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dukinfield Hospital
Context triple: [Tameside General Hospital, replaced, Dukinfield Hospital]
  • A. Royal Blackburn Hospital
    Royal Blackburn Hospital is a major NHS district general hospital serving Blackburn and the surrounding area in Lancashire, England.
  • B. Sutton Hospital
    Sutton Hospital is a healthcare facility serving the local community in Sutton, England.
  • C. Tameside General Hospital chosen
    Tameside General Hospital is a National Health Service hospital in Ashton-under-Lyne, Greater Manchester, providing acute and emergency healthcare services to the Tameside and Glossop area.
  • D. Muswellbrook Hospital
    Muswellbrook Hospital is a public healthcare facility serving the medical needs of the Muswellbrook community and surrounding areas in New South Wales, Australia.
  • E. North Manchester General Hospital
    North Manchester General Hospital is a major NHS hospital in Manchester, England, providing a wide range of acute and specialist healthcare services to the local population.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d289958481908ad4f9467a107083 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d5557881909614819deb335534 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:14 p.m.