Triple

T20789740
Position Surface form Disambiguated ID Type / Status
Subject Lebern District E511739 entity
Predicate containsSettlement P847 FINISHED
Object Selzach 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: Selzach | Statement: [Lebern District, containsSettlement, Selzach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selzach
Context triple: [Lebern District, containsSettlement, Selzach]
  • A. Selzach chosen
    Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
  • B. Rüegsau
    Rüegsau is a rural municipality in the Emmental region of the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss village character.
  • C. Neuenegg
    Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
  • D. Sachseln
    Sachseln is a municipality in the Swiss canton of Obwalden, known as the home and pilgrimage site associated with the Swiss patron saint Nicholas of Flüe.
  • E. Eriswil
    Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28f0e1081909f18dddfc6ec084c completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.