Triple

T23143703
Position Surface form Disambiguated ID Type / Status
Subject canton of Orcines E577529 entity
Predicate contains P35 FINISHED
Object Aurières
Aurières is a small commune in central France’s Puy-de-Dôme department, situated within the Auvergne region.
 E1576050 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: Aurières | Statement: [canton of Orcines, contains, Aurières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aurières
Context triple: [canton of Orcines, contains, Aurières]
  • A. Aureille
    Aureille is a small Provençal village in southern France, known for its traditional rural character and scenic setting within the Alpilles hills.
  • B. Auribeau
    Auribeau is a small commune in southeastern France, situated in the Vaucluse department of the Provence-Alpes-Côte d’Azur region.
  • C. Ourisson
    Ourisson is a French surname most notably associated with Guy Ourisson, a prominent chemist and academic.
  • D. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • 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: Aurières
Triple: [canton of Orcines, contains, Aurières]
Generated description
Aurières is a small commune in central France’s Puy-de-Dôme department, situated within the Auvergne region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aurières
Target entity description: Aurières is a small commune in central France’s Puy-de-Dôme department, situated within the Auvergne region.
  • A. Aureille
    Aureille is a small Provençal village in southern France, known for its traditional rural character and scenic setting within the Alpilles hills.
  • B. Auribeau
    Auribeau is a small commune in southeastern France, situated in the Vaucluse department of the Provence-Alpes-Côte d’Azur region.
  • C. Ourisson
    Ourisson is a French surname most notably associated with Guy Ourisson, a prominent chemist and academic.
  • D. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • E. Bessières
    Bessières is a French surname most notably borne by Jean-Baptiste Bessières, a Marshal of the Empire under Napoleon.
  • 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_6a0c3f3d44a8819086dc22a62313de0b completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c3fec592c8190a8d8ae47f310edd7 completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4064012c819083b2ffe795226ab6 completed May 19, 2026, 10:50 a.m.
Created at: April 17, 2026, 4 p.m.