Triple

T31492589
Position Surface form Disambiguated ID Type / Status
Subject The Examination Schools E803446 entity
Predicate canBeHiredFor P194522 FINISHED
Object conferences 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: conferences | Statement: [The Examination Schools, canBeHiredFor, conferences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeHiredFor
Context triple: [The Examination Schools, canBeHiredFor, conferences]
  • A. canHire
    Indicates that one entity has the authority or ability to employ or recruit another entity.
  • B. mayWorkIn
    Indicates that an entity is allowed or has the possibility to work in a particular place, organization, or context.
  • C. canBeRecruitedFrom
    Indicates that one entity is eligible to be recruited, obtained, or enlisted starting from or via another specified entity or source.
  • D. eligibleWork
    Indicates that a particular work satisfies the necessary conditions or criteria to qualify for a specified status, benefit, or consideration.
  • E. mayWorkOn
    Indicates that an entity is permitted or allowed to perform work on another entity.
  • F. None of above. chosen

Provenance (4 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_69f348ca04508190ba9379b5329dfd75 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd783fed9c81909e792702636c4f1f completed May 8, 2026, 5:44 a.m.
PD Predicate disambiguation batch_69fd7788e63c81909de22fdafcfe41c0 completed May 8, 2026, 5:41 a.m.
PDg Predicate description generation batch_69fd783e9e5c819087dec7fefa03700d completed May 8, 2026, 5:44 a.m.
Created at: April 30, 2026, 9:39 p.m.