Triple

T14551059
Position Surface form Disambiguated ID Type / Status
Subject Servette FC E341417 entity
Predicate hasWonCompetition P8326 FINISHED
Object Swiss Cup 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 | Statement: [Servette FC, hasWonCompetition, Swiss Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Cup
Context triple: [Servette FC, hasWonCompetition, 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 League
    The Swiss League is the second-highest professional ice hockey league in Switzerland, sitting just below the top-tier National League.
  • E. Swiss Football League
    The Swiss Football League is the organization responsible for organizing and overseeing Switzerland’s top professional football divisions and related competitions.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9124af481908f43e3b541568e26 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:23 a.m.