Triple

T34784143
Position Surface form Disambiguated ID Type / Status
Subject Lord Rector of the University of Glasgow E1002755 entity
Predicate sharesLegalFrameworkWith P39225 FINISHED
Object Rector of the University of St Andrews LITERAL 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: Rector of the University of St Andrews | Statement: [Lord Rector of the University of Glasgow, sharesLegalFrameworkWith, Rector of the University of St Andrews]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesLegalFrameworkWith
Context triple: [Lord Rector of the University of Glasgow, sharesLegalFrameworkWith, Rector of the University of St Andrews]
  • A. includesLegalFramework
    Indicates that one entity encompasses, references, or incorporates a specific legal framework within its scope or content.
  • B. sharesLaw chosen
    Indicates that two or more entities are governed by, subject to, or operate under the same law or legal framework.
  • C. countryLegalFramework
    Indicates the legal system, regulations, and institutional rules that govern actions and relationships within a given country.
  • D. previousLegalFramework
    Indicates that one legal framework preceded and was in effect before another legal framework in a given jurisdiction or context.
  • E. linkedLaw
    Indicates that there is a connection or reference between an entity and a specific law or legal provision.
  • F. None of above.

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_69f76db47d408190a24fc7164439ea2d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_6a00383e868c819098fd17e25fcbdb04 completed May 10, 2026, 7:48 a.m.
PD Predicate disambiguation batch_6a0037cc59688190b7b9da939a413db3 completed May 10, 2026, 7:46 a.m.
Created at: May 3, 2026, 3:59 p.m.