Triple

T10664089
Position Surface form Disambiguated ID Type / Status
Subject CA Brive E251304 entity
Predicate basedInDepartment P95215 FINISHED
Object Corrèze E82169 NE FINISHED

How this triple was built (3 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: Corrèze | Statement: [CA Brive, basedInDepartment, Corrèze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corrèze
Context triple: [CA Brive, basedInDepartment, Corrèze]
  • A. Tarn-et-Garonne
    Tarn-et-Garonne is a department in the Occitanie region of southern France, known for its agricultural landscapes, historic towns, and location along the Garonne and Tarn rivers.
  • B. Corrèze department chosen
    Corrèze department is an administrative division in south-central France, in the Nouvelle-Aquitaine region, known for its rural landscapes, historic towns, and the Massif Central foothills.
  • C. Hautes-Pyrénées
    Hautes-Pyrénées is a department in southwestern France, known for its mountainous landscapes in the Pyrenees and popular pilgrimage site of Lourdes.
  • D. Haute-Garonne
    Haute-Garonne is a department in southwestern France, known for its capital city Toulouse and its location spanning from the Pyrenees mountains to the Garonne River valley.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedInDepartment
Context triple: [CA Brive, basedInDepartment, Corrèze]
  • A. worksInDepartment
    Indicates that an entity is employed in and performs their job duties within a particular department.
  • B. offeredByDepartment
    Indicates that something, such as a course or program, is provided or made available by a specific department.
  • C. spokenInDepartment
    Indicates that something is spoken or verbally communicated within a particular department.
  • D. department
    Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
  • E. departmentType
    Indicates the classification or category of a department, specifying what kind of department it is.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31db6288190857533213fa9f20d completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6878a54819080050011e718c4e8 completed April 18, 2026, 12:55 a.m.
PD Predicate disambiguation batch_69d6dd8753108190b799ffa0c760526e completed April 8, 2026, 10:58 p.m.
PDg Predicate description generation batch_69d6df47899481909ac0e518d94883cb completed April 8, 2026, 11:05 p.m.
Created at: April 8, 2026, 9:08 p.m.