Triple

T17403669
Position Surface form Disambiguated ID Type / Status
Subject Kirchlindach E423157 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Wohlen bei Bern 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: Wohlen bei Bern | Statement: [Kirchlindach, hasNeighboringMunicipality, Wohlen bei Bern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wohlen bei Bern
Context triple: [Kirchlindach, hasNeighboringMunicipality, Wohlen bei Bern]
  • A. Wohlen bei Bern chosen
    Wohlen bei Bern is a municipality in the canton of Bern, Switzerland, situated just north of the city of Bern within its metropolitan region.
  • B. Wohlen
    Wohlen is a municipality and regional center in the Swiss canton of Aargau, known for its industrial history and role as a local economic hub.
  • C. Wollerau, Switzerland
    Wollerau, Switzerland is a wealthy municipality on the shores of Lake Zurich known as a low-tax residence for affluent individuals and companies.
  • D. Zollikon
    Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
  • E. Oberrieden
    Oberrieden is a municipality in the canton of Zurich, Switzerland, situated on the western shore of Lake Zurich.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b051cc48190872278ee0b52240d completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.