Triple

T22865498
Position Surface form Disambiguated ID Type / Status
Subject N10 road E567040 entity
Predicate traversesDepartment P42199 FINISHED
Object Gironde NE NERFINISHED

How this triple was built (2 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: Gironde | Statement: [N10 road, traversesDepartment, Gironde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gironde
Context triple: [N10 road, traversesDepartment, Gironde]
  • A. Gironde chosen
    Gironde is a department in southwestern France that encompasses much of the Bordeaux wine region, including renowned appellations such as Graves.
  • B. Charente
    Charente is a department in southwestern France known for its historic towns, cognac production, and scenic river landscapes.
  • C. 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.
  • D. Bordeaux Saint-Jean
    Bordeaux Saint-Jean is the main railway station in Bordeaux, France, serving as a key high-speed TGV hub connecting the city with major destinations across the country and beyond.
  • E. Haute-Vienne
    Haute-Vienne is a department in west-central France, within the Nouvelle-Aquitaine region, known for its capital Limoges and its historic porcelain industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f00f21081909b771610549c5757 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.