Triple

T11295814
Position Surface form Disambiguated ID Type / Status
Subject College of Mount Saint Vincent E267447 entity
Predicate offersProgramDiscipline P2581 FINISHED
Object liberal arts and sciences 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: liberal arts and sciences | Statement: [College of Mount Saint Vincent, offersProgramDiscipline, liberal arts and sciences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersProgramDiscipline
Context triple: [College of Mount Saint Vincent, offersProgramDiscipline, liberal arts and sciences]
  • A. offersDiscipline
    Indicates that one entity provides or makes available a particular field of study, training, or area of specialization to another entity.
  • B. offersProgramLevel
    Indicates that an entity provides or makes available an academic or training program at a specified level (e.g., undergraduate, graduate, certificate).
  • C. offersProgram
    Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
  • D. offersProfessionalPrograms
    Indicates that an entity provides formal, career-oriented educational or training programs to others.
  • E. offersProgramsIn chosen
    Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a262e08190a7c1eacbc6019496 completed April 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69d787a6ca2c8190afdc24b61ccd3f8a completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.