Triple

T2446189
Position Surface form Disambiguated ID Type / Status
Subject NHS Fife E53599 entity
Predicate partOf P40 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 Fife, partOf, NHS Scotland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NHS Scotland
Context triple: [NHS Fife, partOf, 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca25a84c8190859bf51000beffec completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af178d7c8c8190a37a65c35793074e completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:43 p.m.