Triple

T3617716
Position Surface form Disambiguated ID Type / Status
Subject Miro Heiskanen E76642 entity
Predicate playedInLeague 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: [Miro Heiskanen, playedInLeague, Liiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liiga
Context triple: [Miro Heiskanen, playedInLeague, 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc27dd030819083d34fee0c06612a completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331a82688190add137b1f68c955e completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.