Triple

T22319313
Position Surface form Disambiguated ID Type / Status
Subject Obergerlafingen E551738 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Gerlafingen 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: Gerlafingen | Statement: [Obergerlafingen, hasNeighboringMunicipality, Gerlafingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerlafingen
Context triple: [Obergerlafingen, hasNeighboringMunicipality, Gerlafingen]
  • A. Gerlafingen chosen
    Gerlafingen is a municipality in the canton of Solothurn in Switzerland, known historically for its steel industry and residential character.
  • B. Andelfingen
    Andelfingen is a municipality and regional center in the canton of Zürich in northern Switzerland, known for its rural character and vineyards along the Thur River.
  • C. Waltershof
    Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
  • D. Aidlingen
    Aidlingen is a small municipality in the German state of Baden-Württemberg, located southwest of Stuttgart amid the scenic landscapes of the Böblingen region.
  • E. Inzlingen
    Inzlingen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15762fac08190a6a514baffbbbca1 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.