Triple

T16132561
Position Surface form Disambiguated ID Type / Status
Subject Margeride mountains E391435 entity
Predicate administrativeTerritory P8215 FINISHED
Object Cantal E1011361 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 | Statement: [Margeride mountains, administrativeTerritory, Cantal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cantal
Context triple: [Margeride mountains, administrativeTerritory, Cantal]
  • A. Cantal
    Cantal is a rural department in south-central France known for its volcanic landscapes, pastoral agriculture, and the production of Cantal cheese.
  • B. Cantal region chosen
    The Cantal region is a mountainous area in south-central France known for its volcanic landscapes, pastoral scenery, and traditional cheeses.
  • C. Monforte d’Alba
    Monforte d’Alba is a renowned wine-producing village in Italy’s Piedmont region, celebrated for its high-quality Barolo wines and picturesque Langhe hillside landscapes.
  • D. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • E. Fassano
    Fassano is an alternative name for the village of Fodom in the Veneto region of northern Italy.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02e0048190b4e2c6ff434c2d7a completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b1b7248190a1bba4a87db8318b completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.