Triple

T2840608
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Arts and Science, University of Toronto E62456 entity
Predicate governsAcademicUnits P589 FINISHED
Object departments 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: departments | Statement: [Faculty of Arts and Science, University of Toronto, governsAcademicUnits, departments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsAcademicUnits
Context triple: [Faculty of Arts and Science, University of Toronto, governsAcademicUnits, departments]
  • A. servesAcademicUnit
    Indicates that one entity performs services or functions in support of, or on behalf of, an academic unit.
  • B. hasAcademicUnit
    Indicates that an entity is associated with, or belongs to, a specific academic unit such as a department, school, or faculty within an educational institution.
  • C. governsInstitution
    Indicates that one entity holds authoritative control over, manages, or directs the operations and policies of an institution.
  • D. governingUniversitySystem
    Indicates that one entity functions as the overarching university system that administers, regulates, or oversees the other entity (a member institution or campus).
  • E. hasAcademicDepartment chosen
    Indicates that an institution or organization includes or is associated with a specific academic department.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
PD Predicate disambiguation batch_69abdd0ce8b08190ba28c192988f38ce completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:01 p.m.