Triple

T17019984
Position Surface form Disambiguated ID Type / Status
Subject Kevin Pangos E412922 entity
Predicate playedFor P2170 FINISHED
Object Žalgiris Kaunas E87725 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: Žalgiris Kaunas | Statement: [Kevin Pangos, playedFor, Žalgiris Kaunas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Žalgiris Kaunas
Context triple: [Kevin Pangos, playedFor, Žalgiris Kaunas]
  • A. BC Žalgiris chosen
    BC Žalgiris is a prominent Lithuanian professional basketball club, best known for its rich history, passionate fan base, and regular participation in the EuroLeague.
  • B. BC Rytas
    BC Rytas is a prominent professional basketball club from Vilnius, Lithuania, known for its success in domestic and European competitions and its intense rivalry with BC Žalgiris.
  • C. BC Lietkabelis Panevėžys
    BC Lietkabelis Panevėžys is a professional basketball club from Panevėžys, Lithuania, competing in the country’s top basketball league and European competitions.
  • D. Dinamo Riga
    Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
  • E. Riga FC
    Riga FC is a professional football club based in Riga, Latvia, competing in the Latvian Higher League.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d482c3a0819099e6ea4acb0a08ee completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed0b78481909a11c1529db6c1cd completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.