Triple

T6645314
Position Surface form Disambiguated ID Type / Status
Subject Thiers arrondissement E150684 entity
Predicate contains P35 FINISHED
Object Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
 E623409 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: Orléat | Statement: [Thiers arrondissement, contains, Orléat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orléat
Context triple: [Thiers arrondissement, contains, Orléat]
  • A. Nantouillet
    Nantouillet is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
  • B. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • C. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • D. Aiguillon
    Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
  • E. Boussy-Saint-Antoine
    Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
  • 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: Orléat
Triple: [Thiers arrondissement, contains, Orléat]
Generated description
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orléat
Target entity description: Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • A. Nantouillet
    Nantouillet is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
  • B. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • C. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • D. Aiguillon
    Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
  • E. Boussy-Saint-Antoine
    Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01bb290819089c4ff2bd2b5e09b completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f79fa7c81909904de229cb4ed50 completed March 28, 2026, 1:31 a.m.
NEDg Description generation batch_69c7305ab9608190bb54e360860cbefb completed March 28, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c730dce35c8190b9cc9801d559995d completed March 28, 2026, 1:37 a.m.
Created at: March 27, 2026, 2 p.m.