Triple

T22265100
Position Surface form Disambiguated ID Type / Status
Subject canton of Vaison-la-Romaine E550330 entity
Predicate contains P35 FINISHED
Object Puyméras
Puyméras is a small commune in southeastern France’s Vaucluse department, known for its Provençal village charm and surrounding vineyards.
 E1527780 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: Puyméras | Statement: [canton of Vaison-la-Romaine, contains, Puyméras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Puyméras
Context triple: [canton of Vaison-la-Romaine, contains, Puyméras]
  • A. Thérain
    Thérain is a river in northern France that flows through the Oise department before joining the Oise River.
  • B. Ondaine
    The Ondaine is a river in central France that flows through the Loire department, notably passing by the town of Firminy.
  • C. Sornac
    Sornac is a commune in central France’s Corrèze department, known for its rural setting within the Nouvelle-Aquitaine region.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Lère
    Lère is a small river in southern France that serves as a tributary of the Aveyron River.
  • 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: Puyméras
Triple: [canton of Vaison-la-Romaine, contains, Puyméras]
Generated description
Puyméras is a small commune in southeastern France’s Vaucluse department, known for its Provençal village charm and surrounding vineyards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Puyméras
Target entity description: Puyméras is a small commune in southeastern France’s Vaucluse department, known for its Provençal village charm and surrounding vineyards.
  • A. Thérain
    Thérain is a river in northern France that flows through the Oise department before joining the Oise River.
  • B. Ondaine
    The Ondaine is a river in central France that flows through the Loire department, notably passing by the town of Firminy.
  • C. Sornac
    Sornac is a commune in central France’s Corrèze department, known for its rural setting within the Nouvelle-Aquitaine region.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Lère
    Lère is a small river in southern France that serves as a tributary of the Aveyron River.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bb850881908f5e9c37afb52ca8 completed April 28, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab66c7f248190be0b13342f843eb8 completed May 18, 2026, 6:49 a.m.
NEDg Description generation batch_6a0ab7b53aa881908227842536d7e8cc completed May 18, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab82b5a988190a55dd87f10664821 completed May 18, 2026, 6:56 a.m.
Created at: April 16, 2026, 8:39 p.m.