Triple

T21809324
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Riom E538429 entity
Predicate administrativeCenter P1474 FINISHED
Object Riom 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: Riom | Statement: [arrondissement of Riom, administrativeCenter, Riom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riom
Context triple: [arrondissement of Riom, administrativeCenter, Riom]
  • A. Riom chosen
    Riom is a historic town in central France known for its preserved medieval architecture and role as a former capital of the Auvergne region.
  • B. Riom
    Riom is a small village in the Oberhalbstein region of the Swiss canton of Graubünden, known for its traditional alpine character and scenic mountain surroundings.
  • C. Barisien
    A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
  • D. Marseille
    Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
  • E. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc4809c8190853e2777a1f573d4 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.