Triple

T20135119
Position Surface form Disambiguated ID Type / Status
Subject Wichtrach E491004 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Kirchdorf (BE) 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: Kirchdorf (BE) | Statement: [Wichtrach, hasNeighboringMunicipality, Kirchdorf (BE)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirchdorf (BE)
Context triple: [Wichtrach, hasNeighboringMunicipality, Kirchdorf (BE)]
  • A. Kirchdorf (BE) chosen
    Kirchdorf (BE) is a municipality in the canton of Bern, Switzerland, situated within the Bern-Mittelland administrative region.
  • B. Illerkirchberg
    Illerkirchberg is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm along the Iller River.
  • C. Bottendorf
    Bottendorf is a locality in the German state of Thuringia that historically existed within the German Empire.
  • D. Kirchdorf
    Kirchdorf is a small municipality in the Bavarian district of Kelheim in southern Germany.
  • E. Beusichem
    Beusichem is a village in the Dutch province of Gelderland that forms part of the municipality of Buren.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66766e46c81908721fd47066dc9f8 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.