Triple

T16458701
Position Surface form Disambiguated ID Type / Status
Subject Orcet E399748 entity
Predicate hasDemonym P191 FINISHED
Object Orcétoises
Orcétoises are the female inhabitants or natives of the French commune of Orcet in the Puy-de-Dôme department.
 E1214725 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: Orcétoises | Statement: [Orcet, hasDemonym, Orcétoises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orcétoises
Context triple: [Orcet, hasDemonym, Orcétoises]
  • A. Dolomieucoises
    Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
  • B. Échirollois
    Échirollois is the French demonym for inhabitants of the town of Échirolles in southeastern France.
  • C. Bessières
    Bessières is a metro station on the Lausanne Métro network in Lausanne, Switzerland.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Creillois
    Creillois is the French term for inhabitants of the town of Creil in northern France.
  • 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: Orcétoises
Triple: [Orcet, hasDemonym, Orcétoises]
Generated description
Orcétoises are the female inhabitants or natives of the French commune of Orcet in the Puy-de-Dôme department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orcétoises
Target entity description: Orcétoises are the female inhabitants or natives of the French commune of Orcet in the Puy-de-Dôme department.
  • A. Dolomieucoises
    Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
  • B. Échirollois
    Échirollois is the French demonym for inhabitants of the town of Échirolles in southeastern France.
  • C. Bessières
    Bessières is a metro station on the Lausanne Métro network in Lausanne, Switzerland.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Creillois
    Creillois is the French term for inhabitants of the town of Creil in northern France.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ff0e881909100bb5b33c04291 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f51d93081909ede0adcf8e604d4 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a004fb5c28c81909da3d7b9b5c2be72 completed May 10, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_6a00504d177c8190b4a4b4202d0167bb completed May 10, 2026, 9:30 a.m.
Created at: April 10, 2026, 5:10 a.m.