Triple

T8982985
Position Surface form Disambiguated ID Type / Status
Subject Michael Nylander E214579 entity
Predicate playedForTeam P2168 FINISHED
Object HC Lugano E65766 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: HC Lugano | Statement: [Michael Nylander, playedForTeam, HC Lugano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HC Lugano
Context triple: [Michael Nylander, playedForTeam, HC Lugano]
  • A. HC Lugano chosen
    HC Lugano is a professional ice hockey club from Lugano, Switzerland, known for competing in the country’s top-tier National League and for its history of domestic success.
  • B. FC Lugano
    FC Lugano is a professional Swiss football club based in Lugano that competes in the country’s top leagues and European competitions.
  • C. FC Luzern
    FC Luzern is a Swiss professional football club based in Lucerne that competes in the Swiss Super League and is known for its passionate local support and historic presence in Swiss football.
  • D. Stade de Suisse
    Stade de Suisse is a modern football stadium in Bern, Switzerland, best known as the home ground of Swiss club BSC Young Boys.
  • E. FC St. Gallen
    FC St. Gallen is a Swiss professional football club based in St. Gallen and one of the oldest football clubs in continental Europe.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a891e881909e4b84ed82491651 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0b3ce0c81908a7b4297e0867cc9 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:03 p.m.