Triple

T1196323
Position Surface form Disambiguated ID Type / Status
Subject Micromegas detectors E25675 entity
Predicate developedAt P283 FINISHED
Object CEA Saclay E78330 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: CEA Saclay | Statement: [Micromegas detectors, developedAt, CEA Saclay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEA Saclay
Context triple: [Micromegas detectors, developedAt, CEA Saclay]
  • A. Centre National de la Recherche Scientifique
    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. Commissariat à l’énergie atomique chosen
    The Commissariat à l’énergie atomique (CEA) is France’s leading public research organization for nuclear energy and related advanced technologies in defense, energy, and industry.
  • C. CERN
    CERN is the European Organization for Nuclear Research, renowned for its large particle accelerators and fundamental physics experiments that have led to major discoveries such as the Higgs boson.
  • D. CERN
    CERN is the stock ticker symbol for Cerner Corporation, a major American health information technology company known for its electronic health record systems.
  • E. Université Paris-Saclay
    Université Paris-Saclay is a leading French research-intensive university cluster near Paris, renowned for its strengths in science, engineering, and innovation.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd7a756c819085d695acfffeaceb completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7658cae8819081da26480926ff83 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:46 p.m.