Triple

T21246701
Position Surface form Disambiguated ID Type / Status
Subject Winterthur–Romanshorn railway line E523629 entity
Predicate passesThrough P225 FINISHED
Object Amriswil 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: Amriswil | Statement: [Winterthur–Romanshorn railway line, passesThrough, Amriswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amriswil
Context triple: [Winterthur–Romanshorn railway line, passesThrough, Amriswil]
  • A. Amriswil chosen
    Amriswil is a small Swiss town in the canton of Thurgau known for its residential character and local industry.
  • B. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • C. Eriswil
    Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
  • D. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • E. Leutwil
    Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359abdac81908b74dad1b8cc0aa9 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:54 p.m.