Triple

T26073720
Position Surface form Disambiguated ID Type / Status
Subject Belle (Bennett College mascot) E657621 entity
Predicate educationInstitutionRepresented P73310 FINISHED
Object Bennett College NE NERFINISHED

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: Bennett College | Statement: [Belle (Bennett College mascot), educationInstitutionRepresented, Bennett College]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationInstitutionRepresented
Context triple: [Belle (Bennett College mascot), educationInstitutionRepresented, Bennett College]
  • A. universityRepresentedIs
    Indicates that one entity serves as the official representative or embodiment of a particular university.
  • B. undergraduateInstitutionOf
    Indicates that one entity is the institution where the other entity completed or pursued their undergraduate studies.
  • C. representsEducationalInstitution chosen
    Indicates that one entity serves as an educational institution for, or in relation to, another entity.
  • D. educationalInstitutionServed
    Indicates that one entity provides services, support, or resources to a particular educational institution.
  • E. representsEducationalInstitutionType
    Indicates that an entity is associated with or classified by a specific type or category of educational institution.
  • 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_69ee5bbe539081909efc7f9dd7c1b53c completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 26, 2026, 7:31 p.m.