Triple

T15861076
Position Surface form Disambiguated ID Type / Status
Subject Stade de Suisse Wankdorf E384585 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Wankdorf E946012 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: Wankdorf | Statement: [Stade de Suisse Wankdorf, locatedInNeighborhood, Wankdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wankdorf
Context triple: [Stade de Suisse Wankdorf, locatedInNeighborhood, 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. Fricktal
    Fricktal is a region in northwestern Switzerland known for its rural landscapes, vineyards, and location along the Rhine near the German border.
  • D. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • E. Egloffstein
    Egloffstein is a small market town in northern Bavaria, Germany, known for its historic castle and scenic location in the Franconian Switzerland region.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555b952481909246f5ebf53df2a9 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03ef4e48190abe431e6abc9ef9c completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:50 a.m.