Triple

T12215277
Position Surface form Disambiguated ID Type / Status
Subject Toggenburg valley E291065 entity
Predicate hasSettlement P1068 FINISHED
Object Ganterschwil E961250 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: Ganterschwil | Statement: [Toggenburg valley, hasSettlement, Ganterschwil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganterschwil
Context triple: [Toggenburg valley, hasSettlement, Ganterschwil]
  • A. Bütschwil-Ganterschwil chosen
    Bütschwil-Ganterschwil is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland, known for its rural character and scenic pre-Alpine landscape.
  • B. Sachseln
    Sachseln is a municipality in the Swiss canton of Obwalden, known as the home and pilgrimage site associated with the Swiss patron saint Nicholas of Flüe.
  • C. Göschenen
    Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
  • D. Wiggiswil
    Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
  • E. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee89b28819095e2e5df8acbcb22 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:51 p.m.