Triple

T717368
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate containsCity P294 FINISHED
Object Ariège
Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
 E109578 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: Ariège | Statement: [Occitanie, containsCity, Ariège]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ariège
Context triple: [Occitanie, containsCity, Ariège]
  • A. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • B. Ardèche
    Ardèche is a department in southeastern France known for its dramatic river gorges, limestone caves, and scenic rural landscapes.
  • C. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • D. Le Gardon
    Le Gardon is a river in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct.
  • E. Aveyron
    Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
  • 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: Ariège
Triple: [Occitanie, containsCity, Ariège]
Generated description
Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ariège
Target entity description: Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
  • A. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • B. Ardèche
    Ardèche is a department in southeastern France known for its dramatic river gorges, limestone caves, and scenic rural landscapes.
  • C. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • D. Le Gardon
    Le Gardon is a river in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct.
  • E. Aveyron
    Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
  • 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_69a7edf6b02c8190995c50a98b4ec326 completed March 4, 2026, 8:31 a.m.
NEDg Description generation batch_69a7f1cc03b48190a291ca9c20646648 completed March 4, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7f26264d48190ad04ee855523fcc1 completed March 4, 2026, 8:50 a.m.
Created at: March 1, 2026, 7:37 p.m.