Triple

T2842191
Position Surface form Disambiguated ID Type / Status
Subject Vallée d’Ossau E62493 entity
Predicate hasVillage P4011 FINISHED
Object Bilhères
Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
 E342104 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: Bilhères | Statement: [Vallée d’Ossau, hasVillage, Bilhères]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bilhères
Context triple: [Vallée d’Ossau, hasVillage, Bilhères]
  • A. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • D. Thonon-les-Bains
    Thonon-les-Bains is a French spa and resort town in the Haute-Savoie region, known for its lakeside setting on Lake Geneva and views of the Alps.
  • E. Charolles
    Charolles is a small historic town in eastern France, known as the traditional capital of the Charolais cattle-breeding region.
  • 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: Bilhères
Triple: [Vallée d’Ossau, hasVillage, Bilhères]
Generated description
Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bilhères
Target entity description: Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
  • A. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • D. Thonon-les-Bains
    Thonon-les-Bains is a French spa and resort town in the Haute-Savoie region, known for its lakeside setting on Lake Geneva and views of the Alps.
  • E. Charolles
    Charolles is a small historic town in eastern France, known as the traditional capital of the Charolais cattle-breeding region.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1898748190b031a2bd2091c0c0 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b28dc130a48190a4bf2259c206cf88 completed March 12, 2026, 9:56 a.m.
NEDg Description generation batch_69b28f6d8a948190b9aac1b90de472d6 completed March 12, 2026, 10:03 a.m.
NED2 Entity disambiguation (via description) batch_69b2c08b196881908e72596d54ab8873 completed March 12, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:01 p.m.