Triple

T717362
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate containsCity P294 FINISHED
Object Aveyron
Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
E104712 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: Aveyron | Statement: [Occitanie, containsCity, Aveyron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aveyron
Context triple: [Occitanie, containsCity, Aveyron]
  • A. Dordogne
    Dordogne is a major river in southwestern France known for flowing through the Dordogne valley, a region famed for its picturesque landscapes, historic towns, and prehistoric cave art.
  • B. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • C. Haute-Loire
    Haute-Loire is a rural department in south-central France, known for its volcanic landscapes, the upper Loire River valley, and historic towns such as Le Puy-en-Velay.
  • D. Drôme
    Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
  • E. Ardèche
    Ardèche is a department in southeastern France known for its dramatic river gorges, limestone caves, and scenic rural landscapes.
  • 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: Aveyron
Triple: [Occitanie, containsCity, Aveyron]
Generated description
Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aveyron
Target entity description: Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
  • A. Dordogne
    Dordogne is a major river in southwestern France known for flowing through the Dordogne valley, a region famed for its picturesque landscapes, historic towns, and prehistoric cave art.
  • B. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • C. Haute-Loire
    Haute-Loire is a rural department in south-central France, known for its volcanic landscapes, the upper Loire River valley, and historic towns such as Le Puy-en-Velay.
  • D. Drôme
    Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
  • E. Ardèche
    Ardèche is a department in southeastern France known for its dramatic river gorges, limestone caves, and scenic rural landscapes.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c005750881909187edfa8e8fa02c completed March 4, 2026, 5:15 a.m.
NEDg Description generation batch_69a7c07c09f8819082e9c59d22f607cf completed March 4, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69a7c10b114c8190831a95519dd185a2 completed March 4, 2026, 5:20 a.m.
Created at: March 1, 2026, 7:37 p.m.