Triple

T23143707
Position Surface form Disambiguated ID Type / Status
Subject canton of Orcines E577529 entity
Predicate contains P35 FINISHED
Object Clerlande 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: Clerlande | Statement: [canton of Orcines, contains, Clerlande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clerlande
Context triple: [canton of Orcines, contains, Clerlande]
  • A. Clerlande chosen
    Clerlande is a small commune in the Puy-de-Dôme department of central France, situated within the arrondissement of Riom.
  • B. Joncreuil
    Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
  • C. Ardenne
    Ardenne is a forested and hilly region in western Europe, spanning parts of Belgium, Luxembourg, and France, known for its natural landscapes and historical significance in both World Wars.
  • D. Morval
    Morval is a small rural parish and village in Cornwall, England, known for its historic manor house and scenic countryside near Looe.
  • E. Bourglinster
    Bourglinster is a village in central Luxembourg known for its historic castle and picturesque rural setting.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecc3710819088ac5d72dad0459a completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.