Triple

T3925367
Position Surface form Disambiguated ID Type / Status
Subject Areva E93261 entity
Predicate subsidiary P258 FINISHED
Object Areva NP E93261 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: Areva NP | Statement: [Areva, subsidiary, Areva NP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Areva NP
Context triple: [Areva, subsidiary, Areva NP]
  • A. Areva chosen
    Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
  • B. Flamanville 3 nuclear power plant
    Flamanville 3 nuclear power plant is a French EPR (European Pressurized Reactor) project on the Normandy coast, known for its advanced reactor design, major construction delays, and significant cost overruns.
  • C. CEA Marcoule
    CEA Marcoule is a major French nuclear research and industrial site focused on nuclear energy technologies, fuel cycle activities, and radioactive waste management.
  • D. Tractebel
    Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
  • E. Ascó Nuclear Power Plant
    Ascó Nuclear Power Plant is a major Spanish nuclear power facility located in Catalonia that generates electricity using pressurized water reactors.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeed7f3cc881909464db1970ba39ae completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53387775881909479f4e1fcecdaca completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:23 p.m.