Triple

T21832713
Position Surface form Disambiguated ID Type / Status
Subject Pfeffingen E539038 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Duggingen 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: Duggingen | Statement: [Pfeffingen, neighboringMunicipality, Duggingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duggingen
Context triple: [Pfeffingen, neighboringMunicipality, Duggingen]
  • A. Duggingen chosen
    Duggingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, situated in the Birs valley.
  • B. Düdingen
    Düdingen is a municipality in western Switzerland known for its bilingual (German-French) character and location near the city of Fribourg.
  • C. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • D. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • E. Utzigen
    Utzigen is a small village in the municipality of Vechigen in the canton of Bern, Switzerland.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a4d2d0819088ded045caeab52d completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.