Triple

T1924503
Position Surface form Disambiguated ID Type / Status
Subject Medical Research Council E40797 entity
Predicate collaboratesWith P37 FINISHED
Object Wellcome Trust E86334 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: Wellcome Trust | Statement: [Medical Research Council, collaboratesWith, Wellcome Trust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wellcome Trust
Context triple: [Medical Research Council, collaboratesWith, Wellcome Trust]
  • A. Wellcome Trust chosen
    The Wellcome Trust is a major global charitable foundation based in the United Kingdom that funds biomedical research and innovation to improve human and animal health.
  • B. Wolf Foundation
    The Wolf Foundation is an Israeli philanthropic organization best known for awarding the prestigious Wolf Prizes in fields such as mathematics, science, and the arts.
  • C. Wolfson Foundation
    The Wolfson Foundation is a UK-based charitable organization that provides major grants to support excellence in science, health, education, and the arts.
  • D. Medical Research Council
    The Medical Research Council is a UK government-funded organization that supports and coordinates biomedical and health research to improve human health.
  • E. Academy of Medical Sciences
    The Academy of Medical Sciences is an independent UK body that champions medical science, supports researchers, and advises government and the public on health and biomedical policy.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2359ca0819082b514a34c469b21 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e6678881908d72de7e0f19a648 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.