Triple

T4816485
Position Surface form Disambiguated ID Type / Status
Subject Pontcharra E107600 entity
Predicate hasDemonym P191 FINISHED
Object Pontcharraines E472482 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: Pontcharraines | Statement: [Pontcharra, hasDemonym, Pontcharraines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontcharraines
Context triple: [Pontcharra, hasDemonym, Pontcharraines]
  • A. Pontcharrains chosen
    Pontcharrains are the inhabitants or natives of the French commune of Pontcharra, located in the Isère department in southeastern France.
  • B. Chassezac
    The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
  • C. Pontavenais
    Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
  • D. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c947b18819086c3af556bb7591c completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5caf2a488190aee1e81c71bd4b60 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:23 p.m.