Triple

T3174516
Position Surface form Disambiguated ID Type / Status
Subject Jokerit E66429 entity
Predicate leagueParticipation P2209 FINISHED
Object Liiga E65764 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: Liiga | Statement: [Jokerit, leagueParticipation, Liiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liiga
Context triple: [Jokerit, leagueParticipation, Liiga]
  • A. SM-liiga chosen
    SM-liiga is the top professional ice hockey league in Finland, featuring the country’s premier teams and players.
  • B. Swedish Hockey League
    The Swedish Hockey League is Sweden's top professional ice hockey league and one of Europe's premier hockey competitions, known for developing many NHL-caliber players.
  • C. Superettan
    Superettan is the second-highest professional football league in Sweden, sitting directly below the Allsvenskan in the national league system.
  • D. Erovnuli Liga
    Erovnuli Liga is the top professional football division in Georgia, featuring the country’s leading clubs in its premier league competition.
  • E. Allsvenskan
    Allsvenskan is the top professional football league in Sweden, featuring the country’s highest-level clubs in a season-long competition.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada670c800819098937783e2b05c7a completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b513248190a94c2f7642151515 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:06 p.m.