Triple

T20132608
Position Surface form Disambiguated ID Type / Status
Subject Berry E490933 entity
Predicate historicalRegion P915 FINISHED
Object Centre-Val de Loire 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: Centre-Val de Loire | Statement: [Berry, historicalRegion, Centre-Val de Loire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre-Val de Loire
Context triple: [Berry, historicalRegion, Centre-Val de Loire]
  • A. Centre-Val de Loire chosen
    Centre-Val de Loire is a central French region known for its Loire Valley châteaux, historic towns, and extensive agricultural landscapes.
  • B. La Région Centrale
    La Région Centrale is an experimental 1971 Canadian film by Michael Snow, renowned for its abstract, machine-controlled camera movements in a remote landscape.
  • C. Grands-Ponts Region
    Grands-Ponts Region is an administrative region in southern Ivory Coast known for its coastal location and inclusion within the larger Lagunes District.
  • D. Pays de la Loire
    Pays de la Loire is a region in western France known for its Atlantic coastline, historic cities like Nantes and Angers, and numerous Loire Valley châteaux.
  • E. Limousin region
    The Limousin region was a former administrative region in central France known for its rural landscapes, cattle breeding, and production of fine porcelain around the city of Limoges.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66763ee908190af64af31b4ca2377 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.