Triple

T12026390
Position Surface form Disambiguated ID Type / Status
Subject Versailles campus E286287 entity
Predicate hasAcademicDepartments P589 FINISHED
Object various academic 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: various academic departments | Statement: [Versailles campus, hasAcademicDepartments, various academic departments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAcademicDepartments
Context triple: [Versailles campus, hasAcademicDepartments, various academic departments]
  • A. hasAcademicDepartment chosen
    Indicates that an institution or organization includes or is associated with a specific academic department.
  • 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. hasAcademicFacilities
    Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
  • D. hasAcademicComponent
    Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
  • E. hasAcademicStaff
    Indicates that an institution or organization employs or is associated with one or more academic staff members.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902b6ebbc8190b13c44a61c6f81b9 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.