Triple

T2981433
Position Surface form Disambiguated ID Type / Status
Subject Princess of Wales Hospital E80518 entity
Predicate partOf P40 FINISHED
Object NHS Wales E23439 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: NHS Wales | Statement: [Princess of Wales Hospital, partOf, NHS Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NHS Wales
Context triple: [Princess of Wales Hospital, partOf, NHS Wales]
  • A. NHS Wales chosen
    NHS Wales is the publicly funded healthcare system for Wales, providing a wide range of medical and health services to residents free at the point of use.
  • B. NHS Scotland
    NHS Scotland is the publicly funded healthcare system for Scotland, providing comprehensive medical services free at the point of use to residents.
  • C. Cardiff General
    Cardiff General was the former name of Cardiff Central railway station, the main rail hub in the capital city of Wales.
  • D. Wrexham General
    Wrexham General is the main railway station serving the town of Wrexham in North Wales, providing regional and intercity rail connections.
  • E. NHS Business Services Authority
    The NHS Business Services Authority is a special health authority in England that provides a range of essential support services and payments for the NHS, patients, and contractors, including prescription services, dental payments, and NHS pensions administration.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a098e08190976eb4b019818f67 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f27d648190a7a58670fec8b74d completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.