Triple

T14767904
Position Surface form Disambiguated ID Type / Status
Subject Rába ETO Győr E347046 entity
Predicate participatesIn P149 FINISHED
Object Hungarian Cup E815375 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: Hungarian Cup | Statement: [Rába ETO Győr, participatesIn, Hungarian Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungarian Cup
Context triple: [Rába ETO Győr, participatesIn, Hungarian Cup]
  • A. Magyar Kupa chosen
    Magyar Kupa is Hungary’s premier national football cup competition, contested annually by clubs from across the country.
  • B. Hazfi Cup
    The Hazfi Cup is Iran’s primary national knockout football cup competition, featuring clubs from various tiers of the country’s league system.
  • C. Austrian Cup
    The Austrian Cup is Austria's premier annual knockout football competition, featuring clubs from across the country's league system.
  • D. Mitropa Cup
    The Mitropa Cup was one of the first major international club football competitions in Europe, featuring top Central European teams in the interwar and early postwar periods.
  • E. Hungaroton
    Hungaroton is a major Hungarian record label known for its extensive catalog of classical, folk, and contemporary music, particularly featuring Hungarian artists and composers.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81236f081908063bb4350b7b985 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf86730819082cf3f502ec16a46 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:30 a.m.