Triple

T21301722
Position Surface form Disambiguated ID Type / Status
Subject Attiswil E525080 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Wiedlisbach 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: Wiedlisbach | Statement: [Attiswil, hasNeighboringMunicipality, Wiedlisbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiedlisbach
Context triple: [Attiswil, hasNeighboringMunicipality, Wiedlisbach]
  • A. Wiedlisbach chosen
    Wiedlisbach is a historic small town in the canton of Bern, Switzerland, known for its well-preserved medieval old town and former status as a fortified market settlement.
  • B. Waltershof
    Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
  • C. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • D. Oberweier
    Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
  • E. Steinlach
    Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.