Triple

T3925370
Position Surface form Disambiguated ID Type / Status
Subject Areva E93261 entity
Predicate successor P78 FINISHED
Object Orano
Orano is a French multinational nuclear fuel cycle company specializing in uranium mining, conversion, enrichment, recycling, and related nuclear services.
E400399 NE FINISHED

How this triple was built (4 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: Orano | Statement: [Areva, successor, Orano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orano
Context triple: [Areva, successor, Orano]
  • A. Tricastin
    Tricastin is a historical and wine-producing region in southeastern France, known for its vineyards and the nearby Tricastin Nuclear Power Plant.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • D. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • E. Ile-Rousse
    Île-Rousse is a coastal town and popular seaside resort in the Balagne region of northern Corsica, known for its red granite islets and sandy beaches.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Orano
Triple: [Areva, successor, Orano]
Generated description
Orano is a French multinational nuclear fuel cycle company specializing in uranium mining, conversion, enrichment, recycling, and related nuclear services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orano
Target entity description: Orano is a French multinational nuclear fuel cycle company specializing in uranium mining, conversion, enrichment, recycling, and related nuclear services.
  • A. Tricastin
    Tricastin is a historical and wine-producing region in southeastern France, known for its vineyards and the nearby Tricastin Nuclear Power Plant.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • D. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • E. Ile-Rousse
    Île-Rousse is a coastal town and popular seaside resort in the Balagne region of northern Corsica, known for its red granite islets and sandy beaches.
  • F. None of above. chosen

Provenance (5 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_69b52873d5a881909c4c29f06b94a467 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b52c7951d881908a3111581e0ab511 completed March 14, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69b52cd24e988190b25e3b3ccc937fdd completed March 14, 2026, 9:39 a.m.
Created at: March 9, 2026, 3:23 p.m.