Triple

T9204729
Position Surface form Disambiguated ID Type / Status
Subject Charles Girault E220942 entity
Predicate placeOfBirth P1 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: [Charles Girault, placeOfBirth, Cosne-Cours-sur-Loire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosne-Cours-sur-Loire
Context triple: [Charles Girault, placeOfBirth, 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd945f37881909f0d30eeb6a7a3ad completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c4e56208190a5b2749b81e467be completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:26 p.m.