Triple

T20522488
Position Surface form Disambiguated ID Type / Status
Subject Flamatt railway station E503844 entity
Predicate locatedInMunicipality P40 FINISHED
Object Wünnewil-Flamatt 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: Wünnewil-Flamatt | Statement: [Flamatt railway station, locatedInMunicipality, Wünnewil-Flamatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wünnewil-Flamatt
Context triple: [Flamatt railway station, locatedInMunicipality, Wünnewil-Flamatt]
  • A. Wünnewil-Flamatt chosen
    Wünnewil-Flamatt is a municipality in the canton of Fribourg in western Switzerland, known for its rural character and proximity to the city of Bern.
  • B. Walchwil
    Walchwil is a picturesque Swiss municipality in the canton of Zug, known for its scenic location on the eastern shore of Lake Zug and views of the surrounding Alps.
  • C. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • D. Rifferswil
    Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
  • E. Bäriswil
    Bäriswil is a small municipality in the canton of Bern in Switzerland, known for its rural character and proximity to the city of Bern.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f46488c819093687b4e07837793 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.