Triple

T307350
Position Surface form Disambiguated ID Type / Status
Subject DeepMind E6331 entity
Predicate collaboratesWith P37 FINISHED
Object NHS E3883 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 | Statement: [DeepMind, collaboratesWith, NHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NHS
Context triple: [DeepMind, collaboratesWith, NHS]
  • A. National Health Service chosen
    The National Health Service is the United Kingdom’s publicly funded healthcare system that provides comprehensive medical services to residents, largely free at the point of use.
  • B. NHS organisations
    NHS organisations are publicly funded healthcare bodies in the United Kingdom that provide medical services, public health functions, and clinical training within the National Health Service.
  • C. NHS Scotland
    NHS Scotland is the publicly funded healthcare system for Scotland, providing comprehensive medical services free at the point of use to residents.
  • D. NHS England
    NHS England is the national body responsible for overseeing the budget, planning, delivery, and improvement of most publicly funded healthcare services in England.
  • E. NHS Digital
    NHS Digital is the national information and technology partner to the UK’s health and care system, responsible for collecting, managing, and providing access to health and social care data in England.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea313be88190b4441f3ea41a99e2 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b4744d188190a38831b251ca4901 completed March 1, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.