Triple

T16544778
Position Surface form Disambiguated ID Type / Status
Subject Vionnaz E401913 entity
Predicate hasSubdivision P747 FINISHED
Object Les Neyres
Les Neyres is a small village in the Swiss canton of Valais that forms part of the municipality of Vionnaz.
 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: [Vionnaz, hasSubdivision, Les Neyres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Neyres
Context triple: [Vionnaz, hasSubdivision, Les Neyres]
  • A. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • B. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • C. Serques
    Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
  • D. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • E. Clavaleyres
    Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
  • 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: [Vionnaz, hasSubdivision, Les Neyres]
Generated description
Les Neyres is a small village in the Swiss canton of Valais that forms part of the municipality of Vionnaz.
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 Swiss canton of Valais that forms part of the municipality of Vionnaz.
  • A. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • B. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • C. Serques
    Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
  • D. Rothière
    Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • E. Clavaleyres
    Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34560daf08190b353b415d8ab280d completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01481c3084819099e198c408bea464 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a0149a552c88190a4f615f67459a705 completed May 11, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a014a095934819097be0ad099bcde66 completed May 11, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:15 a.m.