Triple

T15409516
Position Surface form Disambiguated ID Type / Status
Subject Collonges E368546 entity
Predicate hasDemonym P191 FINISHED
Object Collongeois E369512 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: Collongeois | Statement: [Collonges, hasDemonym, Collongeois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collongeois
Context triple: [Collonges, hasDemonym, Collongeois]
  • A. Val d’Hérens
    Val d’Hérens is a picturesque alpine valley in the Swiss canton of Valais, known for its traditional villages, dramatic peaks, and well-preserved rural culture.
  • B. Broye-Vully
    Broye-Vully is an administrative district in the canton of Vaud in western Switzerland, known for its rural landscapes, agriculture, and wine-producing areas.
  • C. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • D. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • E. Collonge chosen
    Collonge is a locality within the municipality of Collonge-Bellerive in the canton of Geneva, Switzerland.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135d65988190b35392bdf1e45985 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.