Triple

T3890668
Position Surface form Disambiguated ID Type / Status
Subject František Kučera E88052 entity
Predicate playedFor P2170 FINISHED
Object EV Zug E331645 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: EV Zug | Statement: [František Kučera, playedFor, EV Zug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EV Zug
Context triple: [František Kučera, playedFor, EV Zug]
  • A. EV Zug chosen
    EV Zug is a professional ice hockey club from Zug, Switzerland, known as one of the prominent teams in the country’s top-tier league.
  • B. Z 5600 EMU
    The Z 5600 EMU is a class of French electric multiple unit trains built for suburban commuter services around Paris, notably operating on the RER network.
  • C. Z 20500 EMU
    The Z 20500 EMU is a class of double-deck electric multiple unit trains operated by SNCF in the Paris suburban network, notably on lines such as the RER.
  • D. Z 20900 EMU
    The Z 20900 EMU is a class of French electric multiple unit trains operated by SNCF, primarily used for suburban commuter services around Paris.
  • E. ZVV
    ZVV is the Zürcher Verkehrsverbund, the integrated public transport network and fare association for the Zurich metropolitan area in Switzerland.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb0ba448190aa076865b7762002 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c91d41c8190868ce530d58b5516 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.