Triple

T6586844
Position Surface form Disambiguated ID Type / Status
Subject Nicklas Lidström E159245 entity
Predicate playedInLeague P2209 FINISHED
Object Elitserien E32929 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: Elitserien | Statement: [Nicklas Lidström, playedInLeague, Elitserien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elitserien
Context triple: [Nicklas Lidström, playedInLeague, Elitserien]
  • A. Swedish Hockey League chosen
    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.
  • B. Eishockey-Bundesliga
    Eishockey-Bundesliga was the former top-tier professional ice hockey league in Germany before being succeeded by the Deutsche Eishockey Liga.
  • C. HockeyAllsvenskan
    HockeyAllsvenskan is Sweden's second-highest professional ice hockey league, serving as the primary competition below the top-tier SHL.
  • D. Norwegian Toppserien
    Norwegian Toppserien is the top-tier professional women's football league in Norway.
  • E. SM-liiga
    SM-liiga is the top professional ice hockey league in Finland, featuring the country’s premier teams and players.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeafd2848190bb51e3ea9711c803 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5794f388190a04f4f9c9e628f22 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:55 p.m.