Triple

T21943374
Position Surface form Disambiguated ID Type / Status
Subject Laurent Sagart E541875 entity
Predicate affiliation P10 FINISHED
Object CNRS E54266 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: CNRS | Statement: [Laurent Sagart, affiliation, CNRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNRS
Context triple: [Laurent Sagart, affiliation, CNRS]
  • A. Centre National de la Recherche Scientifique chosen
    The Centre National de la Recherche Scientifique (CNRS) is France’s largest governmental research organization, renowned for its multidisciplinary scientific research across fields ranging from physics and biology to the humanities.
  • B. Institut national de la recherche scientifique
    Institut national de la recherche scientifique is a graduate-level research university in Quebec, Canada, specializing in advanced scientific and technological research and training.
  • C. Institut universitaire de France
    The Institut universitaire de France is a prestigious French institution that supports and honors leading university scholars for their excellence in research.
  • D. CEA Saclay
    CEA Saclay is a major French research center of the French Alternative Energies and Atomic Energy Commission, known for its work in nuclear physics, energy, and advanced technologies.
  • E. INSERM
    INSERM is France’s national public research institute dedicated to human health and medical research.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242515ec8190b015bf8c7b13be85 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6700274c8190a3a1a6f76290568f completed May 18, 2026, 1:10 a.m.
Created at: April 16, 2026, 7:56 p.m.