Triple

T7984206
Position Surface form Disambiguated ID Type / Status
Subject Council of University Presidents E185648 entity
Predicate mayAdviseOn P488 FINISHED
Object national higher education policy 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: national higher education policy | Statement: [Council of University Presidents, mayAdviseOn, national higher education policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayAdviseOn
Context triple: [Council of University Presidents, mayAdviseOn, national higher education policy]
  • A. mayConduct
    Indicates that one entity is permitted or authorized to carry out, perform, or execute a particular action, process, or operation on or with another entity.
  • B. advises chosen
    Indicates that one entity provides guidance, recommendations, or counsel to another entity.
  • C. mayGrant
    Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
  • D. canAdjudicate
    Indicates that an entity has the authority or capacity to formally judge, decide, or resolve a dispute, case, or issue involving another entity or matter.
  • E. mayEngageIn
    Indicates that one entity is permitted or authorized to participate in or perform a particular activity or interaction with another entity.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2b543c81909b82bc478d579e0b completed March 31, 2026, 3:14 a.m.
PD Predicate disambiguation batch_69cb048009a08190b4c577208a9f8f76 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:15 p.m.