Triple

T16758942
Position Surface form Disambiguated ID Type / Status
Subject Bettmerhorn E407285 entity
Predicate hasNearbySettlement P4647 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: [Bettmerhorn, hasNearbySettlement, Fieschertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fieschertal
Context triple: [Bettmerhorn, hasNearbySettlement, 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. Engelbergertal
    Engelbergertal is a scenic alpine valley in central Switzerland known for its mountain landscapes, hiking, and access to the Engelberg resort area.
  • C. Landwassertal
    Landwassertal is a valley in the Swiss canton of Graubünden, known for its dramatic alpine landscape and the famous Landwasser Viaduct of the Rhaetian Railway.
  • D. Angelbachtal
    Angelbachtal is a small municipality in the Kraichgau region of Baden-Württemberg in southwestern Germany, known for its rural character and scenic surroundings.
  • E. 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.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abeb3ab08190918f6bff686858be completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaf7908481909af31fc2d02f33fb completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.