Triple

T22716906
Position Surface form Disambiguated ID Type / Status
Subject Servette FC E561757 entity
Predicate hasWon P2624 FINISHED
Object Swiss Cup 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: Swiss Cup | Statement: [Servette FC, hasWon, Swiss Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Cup
Context triple: [Servette FC, hasWon, Swiss Cup]
  • A. Swiss Cup chosen
    The Swiss Cup is Switzerland's premier annual knockout football competition, featuring clubs from across the country's league system.
  • B. Swiss Super League
    The Swiss Super League is the top professional football division in Switzerland, featuring the country’s leading clubs in the national league system.
  • C. Swiss Challenge League
    The Swiss Challenge League is the second-highest tier of professional football in Switzerland, sitting directly below the Swiss Super League.
  • D. Swiss Women's Cup
    The Swiss Women's Cup is Switzerland's premier national knockout football competition for women's clubs, organized under the Swiss Football Association.
  • E. Swiss League
    The Swiss League is the second-highest professional ice hockey league in Switzerland, sitting just below the top-tier National League.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790e14c88190af6acb27910ae9c1 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.