Triple

T6628868
Position Surface form Disambiguated ID Type / Status
Subject Health Education England E149869 entity
Predicate collaboratesWith P37 FINISHED
Object royal colleges E150771 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: royal colleges | Statement: [Health Education England, collaboratesWith, royal colleges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: royal colleges
Context triple: [Health Education England, collaboratesWith, royal colleges]
  • A. royal colleges chosen
    Royal colleges are professional institutions in the UK that set standards for medical and healthcare education, training, and practice across various specialties.
  • B. King's College
    King's College is a Catholic liberal arts college located in Wilkes-Barre, Pennsylvania.
  • C. King's College
    King's College is the historic institution in New York City that later became Columbia University, known as one of the oldest and most prestigious universities in the United States.
  • D. Cambridge University colleges
    The Cambridge University colleges are a collection of semi-autonomous, historic academic institutions that together form the collegiate University of Cambridge in England.
  • E. Oxford colleges
    Oxford colleges are the semi-autonomous residential and academic communities that collectively make up the University of Oxford, each with its own history, traditions, and governance.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa4a08481908cb5a554f388f32a completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44f5f9c819088cfb4fd87887766 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.