Triple

T5833977
Position Surface form Disambiguated ID Type / Status
Subject Derendingen E129420 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Gerlafingen E520970 NE FINISHED

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: [Derendingen, hasNeighboringMunicipality, Gerlafingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerlafingen
Context triple: [Derendingen, 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. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • D. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • E. Beilngries
    Beilngries is a small Bavarian town in southern Germany known for its historic old town and location within the Altmühltal Nature Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346e6e9c8190a245e5d10595a68f completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5189fa210819097ed10fd854d20b1 completed March 26, 2026, 11:29 a.m.
Created at: March 22, 2026, 3:54 p.m.