Triple

T18213593
Position Surface form Disambiguated ID Type / Status
Subject BSC Young Boys E436093 entity
Predicate homeGroundCityDistrict P18717 FINISHED
Object Wankdorf 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: Wankdorf | Statement: [BSC Young Boys, homeGroundCityDistrict, Wankdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wankdorf
Context triple: [BSC Young Boys, homeGroundCityDistrict, Wankdorf]
  • A. Wankdorf chosen
    Wankdorf is a well-known football stadium complex in Bern, Switzerland, historically associated with BSC Young Boys and major international matches.
  • B. Winnental
    Winnental is a historical town that served as the capital of the former German territory of Württemberg-Winnental.
  • C. Könnern
    Könnern is a small town in the German state of Saxony-Anhalt, known for its rural character and location near the Saale River.
  • D. Fricktal
    Fricktal is a region in northwestern Switzerland known for its rural landscapes, vineyards, and location along the Rhine near the German border.
  • E. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e475953c81909f792793ded2057e completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.