Triple

T20688243
Position Surface form Disambiguated ID Type / Status
Subject Basel–Bern railway line E508478 entity
Predicate passesThrough P225 FINISHED
Object Burgdorf 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: Burgdorf | Statement: [Basel–Bern railway line, passesThrough, Burgdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burgdorf
Context triple: [Basel–Bern railway line, passesThrough, Burgdorf]
  • A. Burgdorf chosen
    Burgdorf is a historic Swiss town in the canton of Bern, known for its medieval castle and role as a regional economic and cultural center.
  • B. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • C. Bäriswil
    Bäriswil is a small municipality in the canton of Bern in Switzerland, known for its rural character and proximity to the city of Bern.
  • D. Fehraltorf
    Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
  • E. Aarburg
    Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10b7b808190bdb8b08e53168fb8 completed April 21, 2026, 12:12 a.m.
Created at: April 16, 2026, 11:45 a.m.