Triple

T6644304
Position Surface form Disambiguated ID Type / Status
Subject Nivernais E150661 entity
Predicate hasSettlement P1068 FINISHED
Object Cosne-Cours-sur-Loire E167653 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: Cosne-Cours-sur-Loire | Statement: [Nivernais, hasSettlement, Cosne-Cours-sur-Loire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosne-Cours-sur-Loire
Context triple: [Nivernais, hasSettlement, Cosne-Cours-sur-Loire]
  • A. Cosne-Cours-sur-Loire chosen
    Cosne-Cours-sur-Loire is a commune in central France situated on the Loire River, known historically as a local commercial and wine-producing center.
  • B. Roanne
    Roanne is a commune and industrial town in central France, situated on the Loire River and known historically for its textile industry and river port.
  • C. Cirque de Mourèze
    Cirque de Mourèze is a striking natural amphitheater in southern France known for its dramatic dolomitic rock formations and scenic hiking trails.
  • D. Butte-aux-Cailles
    Butte-aux-Cailles is a picturesque, village-like neighborhood in Paris known for its cobbled streets, street art, and lively cafés.
  • E. Futuroscope theme park
    Futuroscope theme park is a French multimedia and technology-focused amusement park known for its immersive 3D/4D attractions, futuristic architecture, and cinematic experiences.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01a53388190a31f6624d6f60faa completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef22e58819097bd6533c157d454 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2 p.m.