Triple

T23143704
Position Surface form Disambiguated ID Type / Status
Subject canton of Orcines E577529 entity
Predicate contains P35 FINISHED
Object Ceyssat
Ceyssat is a small commune in central France’s Puy-de-Dôme department, situated in the Auvergne volcanic region near Clermont-Ferrand.
 E1579268 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: Ceyssat | Statement: [canton of Orcines, contains, Ceyssat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ceyssat
Context triple: [canton of Orcines, contains, Ceyssat]
  • A. Cressat
    Cressat is a small rural commune in central France’s Creuse department, characterized by its agricultural landscape and traditional village setting.
  • B. Cébazat
    Cébazat is a commune in central France’s Puy-de-Dôme department, known as a suburban town near Clermont-Ferrand with a mix of residential areas and local economic activity.
  • C. Clavaleyres
    Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
  • D. Bessières
    Bessières is a French surname most notably borne by Jean-Baptiste Bessières, a Marshal of the Empire under Napoleon.
  • E. Bessières
    Bessières is a metro station on the Lausanne Métro network in Lausanne, Switzerland.
  • 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: Ceyssat
Triple: [canton of Orcines, contains, Ceyssat]
Generated description
Ceyssat is a small commune in central France’s Puy-de-Dôme department, situated in the Auvergne volcanic region near Clermont-Ferrand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ceyssat
Target entity description: Ceyssat is a small commune in central France’s Puy-de-Dôme department, situated in the Auvergne volcanic region near Clermont-Ferrand.
  • A. Cressat
    Cressat is a small rural commune in central France’s Creuse department, characterized by its agricultural landscape and traditional village setting.
  • B. Cébazat
    Cébazat is a commune in central France’s Puy-de-Dôme department, known as a suburban town near Clermont-Ferrand with a mix of residential areas and local economic activity.
  • C. Clavaleyres
    Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
  • D. Bessières
    Bessières is a French surname most notably borne by Jean-Baptiste Bessières, a Marshal of the Empire under Napoleon.
  • E. Bessières
    Bessières is a metro station on the Lausanne Métro network in Lausanne, Switzerland.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecc3710819088ac5d72dad0459a completed April 29, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c6eb15c8190b5ef79521c5cb4b3 completed May 19, 2026, 11:41 a.m.
NEDg Description generation batch_6a0c4d521b648190a95a04bd6326ad8d completed May 19, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4daeaf5c81909eca82f6d9103b9a completed May 19, 2026, 11:46 a.m.
Created at: April 17, 2026, 4 p.m.