Triple

T15730209
Position Surface form Disambiguated ID Type / Status
Subject CEA Cadarache E381322 entity
Predicate operator P179 FINISHED
Object CEA E269754 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 | Statement: [CEA Cadarache, operator, CEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEA
Context triple: [CEA Cadarache, operator, CEA]
  • A. CEA chosen
    CEA (Commissariat à l'énergie atomique et aux énergies alternatives) is a major French public research organization specializing in nuclear and alternative energy, defense, information technologies, and health technologies.
  • B. CEA
    CEA is the commonly used abbreviation for the U.S. Commodity Exchange Act, the federal law regulating commodity futures and derivatives markets.
  • C. CEA
    CEA is the Spanish-language abbreviation for the Argentine Episcopal Conference, the assembly of Catholic bishops that coordinates the pastoral and administrative activities of the Catholic Church in Argentina.
  • D. CEA
    CEA is the abbreviation for China Eastern Airlines, one of China's major state-owned carriers operating extensive domestic and international flight networks.
  • E. CESAER
    CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fcb4e4819097bd0591bbcc3b71 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.