Triple

T20522542
Position Surface form Disambiguated ID Type / Status
Subject Düdingen railway station E503846 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Düdingen 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: Düdingen | Statement: [Düdingen railway station, locatedInAdministrativeTerritorialEntity, Düdingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Düdingen
Context triple: [Düdingen railway station, locatedInAdministrativeTerritorialEntity, Düdingen]
  • A. Düdingen chosen
    Düdingen is a municipality in western Switzerland known for its bilingual (German-French) character and location near the city of Fribourg.
  • B. Adliswil
    Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
  • C. Lauenen
    Lauenen is a small alpine village and municipality in the Bernese Oberland region of Switzerland, known for its traditional Swiss chalets and scenic mountain landscapes.
  • D. Wädenswil
    Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
  • E. Dietlikon
    Dietlikon is a municipality in the canton of Zurich in northern Switzerland, known for its residential areas and commercial zones within the Zurich metropolitan region.
  • 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_69e69f471f18819091e8a57161fe0225 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.