Triple

T18213856
Position Surface form Disambiguated ID Type / Status
Subject Walkringen E436100 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Grosshöchstetten 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: Grosshöchstetten | Statement: [Walkringen, hasNeighboringMunicipality, Grosshöchstetten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grosshöchstetten
Context triple: [Walkringen, hasNeighboringMunicipality, Grosshöchstetten]
  • A. Grosshöchstetten chosen
    Grosshöchstetten is a municipality in the canton of Bern in Switzerland, known for its rural character and proximity to the city of Bern.
  • B. Hochstetten
    Hochstetten is a locality within the town of Breisach am Rhein in the Baden-Württemberg region of southwestern Germany.
  • C. Oberhöchstadt
    Oberhöchstadt is a district of the town of Kronberg im Taunus in Hesse, Germany, known for its residential character within the Taunus region.
  • D. Hochdorf
    Hochdorf is a municipality in the canton of Lucerne in central Switzerland, known as a regional center in the Seetal valley.
  • E. Hirschstetten
    Hirschstetten is a residential and partly industrial neighborhood in Vienna, Austria, known for its local gardens and suburban character within the district of Donaustadt.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e475953c81909f792793ded2057e completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.