Triple

T17123008
Position Surface form Disambiguated ID Type / Status
Subject Aquitaine E415514 entity
Predicate contains P35 FINISHED
Object Dordogne E78217 NE FINISHED

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: Dordogne | Statement: [Aquitaine, contains, Dordogne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dordogne
Context triple: [Aquitaine, contains, Dordogne]
  • A. Dordogne chosen
    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. 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.
  • C. Aveyron
    Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
  • D. Gironde
    Gironde is a department in southwestern France that encompasses much of the Bordeaux wine region, including renowned appellations such as Graves.
  • E. Aquitaine
    Aquitaine is a historical region in southwestern France known for its rich medieval heritage, strategic importance in European power struggles, and later prominence as a center of culture and wine production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80b7e6881909f7635875549a2f1 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014147db18819083e6cfbb597687c1 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.