Triple

T13842630
Position Surface form Disambiguated ID Type / Status
Subject Montry E332699 entity
Predicate hasDemonym P191 FINISHED
Object Montéricultoises
Montéricultoises are the female inhabitants or natives of the French commune of Montry.
 E1064306 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: Montéricultoises | Statement: [Montry, hasDemonym, Montéricultoises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montéricultoises
Context triple: [Montry, hasDemonym, Montéricultoises]
  • A. Dolomieucoises
    Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
  • B. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • C. Montcelliens
    Montcelliens are the inhabitants of Montceau-les-Mines, a commune in the Saône-et-Loire department of eastern France.
  • D. Tournefeuillais
    Tournefeuillais is the French demonym for inhabitants of the commune of Tournefeuille in southwestern France.
  • E. Boissonnas
    Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
  • 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: Montéricultoises
Triple: [Montry, hasDemonym, Montéricultoises]
Generated description
Montéricultoises are the female inhabitants or natives of the French commune of Montry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montéricultoises
Target entity description: Montéricultoises are the female inhabitants or natives of the French commune of Montry.
  • A. Dolomieucoises
    Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
  • B. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • C. Montcelliens
    Montcelliens are the inhabitants of Montceau-les-Mines, a commune in the Saône-et-Loire department of eastern France.
  • D. Tournefeuillais
    Tournefeuillais is the French demonym for inhabitants of the commune of Tournefeuille in southwestern France.
  • E. Boissonnas
    Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f87c188190b90faf7678cb9ad4 completed May 3, 2026, 9:07 p.m.
NEDg Description generation batch_69f7b9da1f848190a0c7e8d8a2b0954d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf47c888190be32a4105903120a completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 10:13 p.m.