Triple

T2708972
Position Surface form Disambiguated ID Type / Status
Subject Dordogne River E59810 entity
Predicate drainageBasin P1559 FINISHED
Object Dordogne basin 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 basin | Statement: [Dordogne River, drainageBasin, Dordogne basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dordogne basin
Context triple: [Dordogne River, drainageBasin, Dordogne basin]
  • 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. Saône basin
    The Saône basin is the drainage area of the Saône River in eastern France, encompassing its tributaries and surrounding landscapes before the river joins the Rhône.
  • C. Aquitaine Basin
    The Aquitaine Basin is a large sedimentary basin in southwestern France known for its petroleum resources and varied geological formations.
  • D. Val-d'Oise
    Val-d'Oise is a department in northern France that forms part of the Paris metropolitan region and includes both suburban areas and rural landscapes.
  • 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.

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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7542548190bbf6c947145f7f63 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb683092c8190859e92acadfb820c completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.