Triple

T18277561
Position Surface form Disambiguated ID Type / Status
Subject Gland E437776 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Vich 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: Vich | Statement: [Gland, hasNeighboringMunicipality, Vich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vich
Context triple: [Gland, hasNeighboringMunicipality, Vich]
  • A. Vich chosen
    Vich is a small municipality in the canton of Vaud in western Switzerland, located in the district of Nyon near Lake Geneva.
  • B. Vosgien
    Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
  • C. Viaur
    The Viaur is a river in southern France that flows through the Aveyron and Tarn departments before joining the Aveyron River.
  • D. Mourèze
    Mourèze is a small village in southern France known for its dramatic surrounding limestone rock formations and scenic natural amphitheater.
  • E. Ouffet
    Ouffet is a small municipality in the province of Liège in Wallonia, Belgium, known for its rural character and historic village 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50053cc808190b46a3ec9d96936fe completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.