Triple

T10663802
Position Surface form Disambiguated ID Type / Status
Subject Brive arrondissement E251295 entity
Predicate contains P35 FINISHED
Object Vigeois
Vigeois is a commune in the Corrèze department of central France, known for its historic abbey and picturesque rural setting.
 E876655 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: Vigeois | Statement: [Brive arrondissement, contains, Vigeois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vigeois
Context triple: [Brive arrondissement, contains, Vigeois]
  • A. Vénéon
    Vénéon is a mountain river in the French Alps known for its glacial waters and scenic valley in the Écrins massif.
  • B. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • C. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • D. Vautrin
    Vautrin is a cunning, charismatic criminal mastermind and recurring antihero in Honoré de Balzac’s La Comédie humaine, known for his manipulative intelligence and complex moral ambiguity.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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: Vigeois
Triple: [Brive arrondissement, contains, Vigeois]
Generated description
Vigeois is a commune in the Corrèze department of central France, known for its historic abbey and picturesque rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vigeois
Target entity description: Vigeois is a commune in the Corrèze department of central France, known for its historic abbey and picturesque rural setting.
  • A. Vénéon
    Vénéon is a mountain river in the French Alps known for its glacial waters and scenic valley in the Écrins massif.
  • B. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • C. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • D. Vautrin
    Vautrin is a cunning, charismatic criminal mastermind and recurring antihero in Honoré de Balzac’s La Comédie humaine, known for his manipulative intelligence and complex moral ambiguity.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31db6288190857533213fa9f20d completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.