Triple

T1140572
Position Surface form Disambiguated ID Type / Status
Subject NHS Wales E23439 entity
Predicate collaboratesWith P37 FINISHED
Object NHS Scotland E23217 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 Scotland | Statement: [NHS Wales, collaboratesWith, NHS Scotland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NHS Scotland
Context triple: [NHS Wales, collaboratesWith, NHS Scotland]
  • A. NHS Scotland chosen
    NHS Scotland is the publicly funded healthcare system for Scotland, providing comprehensive medical services free at the point of use to residents.
  • B. NHS Lothian
    NHS Lothian is a major regional division of Scotland’s National Health Service responsible for providing healthcare services to the population of Edinburgh and the surrounding Lothian area.
  • C. NHS Fife
    NHS Fife is the regional division of Scotland’s National Health Service responsible for providing and managing healthcare services across the Fife area.
  • D. NHS Tayside
    NHS Tayside is a regional division of Scotland’s National Health Service responsible for providing healthcare services across the Tayside area, including Dundee and its surrounding communities.
  • E. NHS Wales
    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.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc290ae08190afbf7e7ea2100d9e completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b020d48190bc6ecbdb720c6779 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.