Triple

T21985972
Position Surface form Disambiguated ID Type / Status
Subject canton of Le Sancy E542961 entity
Predicate contains P35 FINISHED
Object Avèze
Avèze is a small commune in central France’s Puy-de-Dôme department, situated within the mountainous Massif Central region.
E1511709 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: Avèze | Statement: [canton of Le Sancy, contains, Avèze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avèze
Context triple: [canton of Le Sancy, contains, Avèze]
  • A. Aiguèze
    Aiguèze is a picturesque medieval village in southern France, known for its hilltop setting overlooking the Ardèche River and its well-preserved historic architecture.
  • B. Vièze
    Vièze is a river in the canton of Valais in southwestern Switzerland that flows through the town of Monthey before joining the Rhône.
  • C. Lugnez
    Lugnez is a small municipality in the canton of Jura in northwestern Switzerland.
  • D. Montfavet
    Montfavet is a district of Avignon in southeastern France, known in part for its psychiatric hospital where sculptor Camille Claudel spent her final years and died.
  • E. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • 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: Avèze
Triple: [canton of Le Sancy, contains, Avèze]
Generated description
Avèze is a small commune in central France’s Puy-de-Dôme department, situated within the mountainous Massif Central region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avèze
Target entity description: Avèze is a small commune in central France’s Puy-de-Dôme department, situated within the mountainous Massif Central region.
  • A. Aiguèze
    Aiguèze is a picturesque medieval village in southern France, known for its hilltop setting overlooking the Ardèche River and its well-preserved historic architecture.
  • B. Vièze
    Vièze is a river in the canton of Valais in southwestern Switzerland that flows through the town of Monthey before joining the Rhône.
  • C. Lugnez
    Lugnez is a small municipality in the canton of Jura in northwestern Switzerland.
  • D. Montfavet
    Montfavet is a district of Avignon in southeastern France, known in part for its psychiatric hospital where sculptor Camille Claudel spent her final years and died.
  • E. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12709cb288190a2620e337fea364c completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d7d735081909b86cafe3bc85186 completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e3690e88190a8cabaa29a84799e completed May 18, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6ea775988190865a406893a467cc completed May 18, 2026, 1:43 a.m.
Created at: April 16, 2026, 8:04 p.m.