Triple

T21246697
Position Surface form Disambiguated ID Type / Status
Subject Winterthur–Romanshorn railway line E523629 entity
Predicate connectsTown P845 FINISHED
Object Romanshorn 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: Romanshorn | Statement: [Winterthur–Romanshorn railway line, connectsTown, Romanshorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romanshorn
Context triple: [Winterthur–Romanshorn railway line, connectsTown, Romanshorn]
  • A. Romanshorn chosen
    Romanshorn is a Swiss town on the southern shore of Lake Constance, known as an important regional transport hub and ferry port.
  • B. Fehraltorf
    Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
  • C. Würenlingen
    Würenlingen is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and proximity to the Aare River and regional transport links.
  • D. Ursensollen
    Ursensollen is a municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
  • E. Grossaffoltern
    Grossaffoltern is a rural municipality in the canton of Bern, Switzerland, known for its agricultural landscape and small village character.
  • 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.