Triple

T6214712
Position Surface form Disambiguated ID Type / Status
Subject Urseren-Goms region E138956 entity
Predicate hasVillage P4011 FINISHED
Object Fieschertal E400979 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: Fieschertal | Statement: [Urseren-Goms region, hasVillage, Fieschertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fieschertal
Context triple: [Urseren-Goms region, hasVillage, Fieschertal]
  • A. Fieschertal chosen
    Fieschertal is a Swiss alpine village and municipality in the canton of Valais, known as a gateway to the nearby Fiescher Glacier and surrounding high mountain landscapes.
  • B. Kinzigtal
    Kinzigtal is a scenic valley in southwestern Germany shaped by the Kinzig River, known for its Black Forest landscapes, historic towns, and traditional cultural heritage.
  • C. Karwendeltal
    Karwendeltal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, hiking trails, and unspoiled natural landscapes.
  • D. Sihltal
    Sihltal is a Swiss valley in the canton of Zurich shaped by the Sihl River, known for its scenic landscapes and proximity to the city of Zurich.
  • E. Toggenburg valley
    Toggenburg valley is a picturesque alpine valley in northeastern Switzerland known for its traditional villages, hiking and skiing areas, and scenic mountain landscapes.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a0e0488190b71b42386bacf982 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243e2d82c8190bacc282589d28b78 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:21 p.m.