Triple

T16019920
Position Surface form Disambiguated ID Type / Status
Subject Henrik Zetterberg E388572 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: [Henrik Zetterberg, playedFor, EV Zug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EV Zug
Context triple: [Henrik Zetterberg, 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. EV Zug Academy
    EV Zug Academy is the developmental farm team of Swiss ice hockey club EV Zug, focused on training and promoting young players toward professional competition.
  • C. D-Zug
    D-Zug was a former class of fast long-distance passenger trains in German-speaking countries, known for providing relatively quick intercity connections before being largely superseded by newer service categories.
  • D. 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.
  • E. 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.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183222e4c81909a3ab51446b671bd completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2c6128819091d8f3710578834e completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.