Triple

T16777125
Position Surface form Disambiguated ID Type / Status
Subject Fiesch E407753 entity
Predicate connectedTo P37 FINISHED
Object Disentis/Mustér E409968 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: Disentis/Mustér | Statement: [Fiesch, connectedTo, Disentis/Mustér]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disentis/Mustér
Context triple: [Fiesch, connectedTo, Disentis/Mustér]
  • A. Disentis/Mustér chosen
    Disentis/Mustér is a bilingual (Romansh and German) mountain village and municipality in the Swiss canton of Graubünden, known for its Benedictine monastery and role as a regional transport hub in the Alps.
  • B. Disentis
    Disentis is a Swiss Alpine village in the canton of Graubünden known for its Benedictine monastery and access to extensive skiing and mountain sports.
  • C. Schinznach-Bad
    Schinznach-Bad is a small Swiss spa municipality in the canton of Aargau, known for its thermal baths and scenic location along the Aare River.
  • D. Weggis
    Weggis is a picturesque lakeside resort town in central Switzerland, known for its mild climate, scenic views of the Alps, and tourism on the shores of Lake Lucerne.
  • E. Spreitenbach
    Spreitenbach is a municipality in the canton of Aargau in northern Switzerland, known for its large shopping centers and proximity to the city of Zurich.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b03a646c8190b3944c9f0c25af27 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.