Triple

T36457922
Position Surface form Disambiguated ID Type / Status
Subject Collège de Bourgogne, Paris E898208 entity
Predicate isMedievalCollegeOf P27405 FINISHED
Object University of Paris 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: University of Paris | Statement: [Collège de Bourgogne, Paris, isMedievalCollegeOf, University of Paris]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMedievalCollegeOf
Context triple: [Collège de Bourgogne, Paris, isMedievalCollegeOf, University of Paris]
  • A. isAmongOldestUniversitiesIn
    Indicates that an educational institution ranks among the oldest universities within a specified geographic or organizational context.
  • B. hasHistoricUniversity
    Indicates that an entity is associated with or contains a university of historical significance.
  • C. hasCentralUniversityStatus
    Indicates that an institution holds the official designation or recognition as a central or nationally governed university.
  • D. isConstituentCollegeOf chosen
    Indicates that one educational institution functions as a constituent or affiliated college that forms part of a larger parent university or institution.
  • E. isHistoricUniversityTown
    Indicates that a town is recognized for its long-standing association with a university and its historical academic significance.
  • 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_69f76e57f08481908593bd0bc34581c8 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bccf05bc8190b61fdb2b2a315811 completed May 3, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:10 p.m.