Triple

T8341320
Position Surface form Disambiguated ID Type / Status
Subject Mats Näslund E195920 entity
Predicate playedFor P2170 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: [Mats Näslund, playedFor, HC Lugano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HC Lugano
Context triple: [Mats Näslund, playedFor, 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc72bc43c81909d95c7eb6aefc403 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:58 p.m.