Triple

T14603531
Position Surface form Disambiguated ID Type / Status
Subject board of governors E342766 entity
Predicate mayGovern P43760 FINISHED
Object school 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: school | Statement: [board of governors, mayGovern, school]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayGovern
Context triple: [board of governors, mayGovern, school]
  • A. mayGrant
    Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
  • B. mayRuleOver chosen
    Indicates that one entity has the potential or permission to exercise authority or governance over another entity.
  • C. intendedToGovern
    Indicates that one entity was meant or designated to exercise authority or control over another entity or group.
  • D. governs
    Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
  • E. areGovernedBy
    Indicates that one or more entities are under the authority, control, or administration of a governing body or ruler.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43a1bb48190bf520cb961f15b5e completed April 14, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69de656f9f4c81909f815b6629a9ee39 completed April 14, 2026, 4:03 p.m.
Created at: April 10, 2026, 1:25 a.m.