Triple

T24261371
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Villefranche-de-Rouergue E604711 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Montbazens
Montbazens is a commune in the Aveyron department in southern France, known for its rural setting on the Plateau de Montbazens within the historical province of Rouergue.
E1716603 NE FINISHED

How this triple was built (2 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: Montbazens | Statement: [arrondissement of Villefranche-de-Rouergue, containsAdministrativeTerritorialEntity, Montbazens]
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: Montbazens
Triple: [arrondissement of Villefranche-de-Rouergue, containsAdministrativeTerritorialEntity, Montbazens]
Generated description
Montbazens is a commune in the Aveyron department in southern France, known for its rural setting on the Plateau de Montbazens within the historical province of Rouergue.

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_69e29544c29c8190b023606eafe5d36a completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28c6727388190862e3ce09c372c70 completed April 29, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118f71830481908b322a182efebb1b completed May 23, 2026, 11:28 a.m.
NEDg Description generation batch_6a118ff6c14081909cf07556b6ed9d08 completed May 23, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_6a119076f8d0819083e4ee1dd938010d completed May 23, 2026, 11:33 a.m.
Created at: April 18, 2026, 12:06 a.m.