Triple

T6645323
Position Surface form Disambiguated ID Type / Status
Subject Thiers arrondissement E150684 entity
Predicate contains P35 FINISHED
Object Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
 E624650 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: Verrières | Statement: [Thiers arrondissement, contains, Verrières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Verrières
Context triple: [Thiers arrondissement, contains, Verrières]
  • A. Viry-Châtillon
    Viry-Châtillon is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location along the Seine River in the Essonne department.
  • B. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • C. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • D. Valtournenche
    Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
  • E. Bédarieux
    Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
  • 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: Verrières
Triple: [Thiers arrondissement, contains, Verrières]
Generated description
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Verrières
Target entity description: Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • A. Viry-Châtillon
    Viry-Châtillon is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location along the Seine River in the Essonne department.
  • B. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • C. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • D. Valtournenche
    Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
  • E. Bédarieux
    Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01bb290819089c4ff2bd2b5e09b completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7422f57848190901b31229825b9e2 completed March 28, 2026, 2:51 a.m.
NEDg Description generation batch_69c7431d2d5881909daf29caeef37d0d completed March 28, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69c743949cbc8190a797666c7d509a1c completed March 28, 2026, 2:57 a.m.
Created at: March 27, 2026, 2 p.m.