Triple

T18882028
Position Surface form Disambiguated ID Type / Status
Subject Sion Airport E461850 entity
Predicate hasCityServed P3936 FINISHED
Object Valais region 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: Valais region | Statement: [Sion Airport, hasCityServed, Valais region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valais region
Context triple: [Sion Airport, hasCityServed, Valais region]
  • A. Valais chosen
    Valais is a mountainous canton in southwestern Switzerland known for its Alpine scenery, vineyards, and popular ski resorts such as Zermatt and Verbier.
  • B. Kutaisi region
    The Kutaisi region is a historically significant area in western Georgia, centered around the city of Kutaisi and known for its ancient cultural heritage and archaeological sites.
  • C. Vivarais region
    The Vivarais region is a historic area in south-central France, largely corresponding to part of the Ardèche department, known for its rugged landscapes, vineyards, and river valleys.
  • D. Seeland region
    The Seeland region is an area in western Switzerland known for its lakes, fertile plains, and intensive agriculture, particularly vegetable farming.
  • E. Trièves region
    The Trièves region is a rural area in the French Prealps known for its dramatic mountain scenery, traditional villages, and outdoor recreation opportunities.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d2028481908af2b1560312e26c completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.