Triple

T14498850
Position Surface form Disambiguated ID Type / Status
Subject Santoire River E359576 entity
Predicate flowsThrough P225 FINISHED
Object Cantal region E52560 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: Cantal region | Statement: [Santoire River, flowsThrough, Cantal region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cantal region
Context triple: [Santoire River, flowsThrough, Cantal region]
  • A. Cantal region
    The Cantal region is a mountainous area in south-central France known for its volcanic landscapes, pastoral scenery, and traditional cheeses.
  • B. Albis region
    The Albis region is a hilly area in the Swiss canton of Zurich known for its forested ridge, scenic landscapes, and proximity to Lake Zurich.
  • C. Gaume region
    The Gaume region is a culturally distinct, French-speaking area in southern Belgium’s Luxembourg province, known for its relatively mild microclimate, rolling rural landscapes, and historic sites such as Orval Abbey.
  • D. Cantal chosen
    Cantal is a rural department in south-central France known for its volcanic landscapes, pastoral agriculture, and the production of Cantal cheese.
  • E. Champsaur region
    The Champsaur region is a mountainous valley area in the French Alps known for its traditional villages, pastoral landscapes, and outdoor activities such as hiking and skiing.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9311cc748190880c784f173b7f2b completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d99a7948190a3ff01e7b74aaa1e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.