Triple

T13801297
Position Surface form Disambiguated ID Type / Status
Subject EV Zug E331645 entity
Predicate wonCup P28192 FINISHED
Object Swiss Cup 2018–19 E439479 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: Swiss Cup 2018–19 | Statement: [EV Zug, wonCup, Swiss Cup 2018–19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Cup 2018–19
Context triple: [EV Zug, wonCup, Swiss Cup 2018–19]
  • 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 Challenge League
    The Swiss Challenge League is the second-highest tier of professional football in Switzerland, sitting directly below the Swiss Super League.
  • C. 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.
  • D. Zürich derby
    The Zürich derby is the fiercely contested local football rivalry between FC Zürich and Grasshopper Club Zürich, two of Switzerland’s most successful clubs.
  • 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 (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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0893a20819081d4001b8dbc9c36 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.