Triple

T18988622
Position Surface form Disambiguated ID Type / Status
Subject canton of Frasne E464620 entity
Predicate contains P35 FINISHED
Object Montperreux
Montperreux is a small commune in the Doubs department of eastern France, near the Swiss border in the Bourgogne-Franche-Comté region.
E1380435 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: Montperreux | Statement: [canton of Frasne, contains, Montperreux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montperreux
Context triple: [canton of Frasne, contains, Montperreux]
  • A. Montauroux
    Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
  • B. Montegnée
    Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
  • C. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • D. Mourenx
    Mourenx is a commune in southwestern France’s Pyrénées-Atlantiques department, developed in the mid-20th century as a planned industrial town linked to nearby natural gas fields.
  • E. Montpeyroux
    Montpeyroux is a renowned Languedoc wine-producing area in southern France known for robust, terroir-driven red blends.
  • 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: Montperreux
Triple: [canton of Frasne, contains, Montperreux]
Generated description
Montperreux is a small commune in the Doubs department of eastern France, near the Swiss border in the Bourgogne-Franche-Comté region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Montperreux
Target entity description: Montperreux is a small commune in the Doubs department of eastern France, near the Swiss border in the Bourgogne-Franche-Comté region.
  • A. Montauroux
    Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
  • B. Montegnée
    Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
  • C. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • D. Mourenx
    Mourenx is a commune in southwestern France’s Pyrénées-Atlantiques department, developed in the mid-20th century as a planned industrial town linked to nearby natural gas fields.
  • E. Montpeyroux
    Montpeyroux is a renowned Languedoc wine-producing area in southern France known for robust, terroir-driven red blends.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d66272388190850a7e5dec165a01 completed April 20, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07470611cc81909f603f6a614abd5f completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0748b9241881909809e707307d8f2c completed May 15, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0749543ffc8190bc987fe15cca8a4c completed May 15, 2026, 4:27 p.m.
Created at: April 10, 2026, 12:01 p.m.