Triple

T17742411
Position Surface form Disambiguated ID Type / Status
Subject Commugny E442893 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Founex E437777 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: Founex | Statement: [Commugny, hasNeighboringMunicipality, Founex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Founex
Context triple: [Commugny, hasNeighboringMunicipality, Founex]
  • A. Founex chosen
    Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
  • B. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • C. Finavon
    Finavon is a small village in Angus, Scotland, known for its historic castle ruins and scenic position near the River South Esk.
  • D. Nucourt
    Nucourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • E. Fezco
    Fezco is a soft-spoken teenage drug dealer and loyal friend character from the television series "Euphoria."
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ace58988190b927ca29af7a8b77 completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242ff08408190a1bdd1434a55b7af completed May 11, 2026, 8:58 p.m.
Created at: April 10, 2026, 10:09 a.m.