Triple

T17826810
Position Surface form Disambiguated ID Type / Status
Subject Collombey-Muraz E445138 entity
Predicate hasSettlement P1068 FINISHED
Object Les Neyres
Les Neyres is a small village in the municipality of Collombey-Muraz in the canton of Valais, Switzerland.
 E1254345 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: Les Neyres | Statement: [Collombey-Muraz, hasSettlement, Les Neyres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Neyres
Context triple: [Collombey-Muraz, hasSettlement, Les Neyres]
  • A. Les Neyres
    Les Neyres is a small village in the Swiss canton of Valais that forms part of the municipality of Vionnaz.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • D. Serques
    Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
  • E. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • 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: Les Neyres
Triple: [Collombey-Muraz, hasSettlement, Les Neyres]
Generated description
Les Neyres is a small village in the municipality of Collombey-Muraz in the canton of Valais, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Neyres
Target entity description: Les Neyres is a small village in the municipality of Collombey-Muraz in the canton of Valais, Switzerland.
  • A. Les Neyres chosen
    Les Neyres is a small village in the Swiss canton of Valais that forms part of the municipality of Vionnaz.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • D. Serques
    Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
  • E. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • F. None of above.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914e20481908883d1da194f446c completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a043f0e51348190b667ed0f695ee7bb completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a043fa87a80819099465f5098663461 completed May 13, 2026, 9:08 a.m.
NED2 Entity disambiguation (via description) batch_6a044006673c81908dcb5fac1f61bd10 completed May 13, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:15 a.m.