Triple

T6905203
Position Surface form Disambiguated ID Type / Status
Subject Charles Richet E159794 entity
Predicate employer P7 FINISHED
Object University of Paris E2175 NE 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: University of Paris | Statement: [Charles Richet, employer, University of Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Paris
Context triple: [Charles Richet, employer, University of Paris]
  • A. La Sorbonne
    La Sorbonne is a historic university building in Paris that has long served as a central symbol of French higher education and intellectual life.
  • B. Sorbon
    Sorbon is a small commune in the Ardennes department of northern France, historically notable as the birthplace of theologian Robert de Sorbon, founder of the Sorbonne.
  • C. Sorbonne University chosen
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • D. Sorbonne Nouvelle University
    Sorbonne Nouvelle University is a Paris-based public university renowned for its programs in languages, literature, arts, and humanities, continuing the academic legacy of the historic Sorbonne.
  • E. University of Tours
    The University of Tours is a French public university located in the city of Tours, known for its programs in humanities, law, sciences, and health.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98b07f0819093595e958fa0317b completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c902a459f481908dbba16de611b85a completed March 29, 2026, 10:44 a.m.
Created at: March 27, 2026, 2:25 p.m.