Triple

T5980966
Position Surface form Disambiguated ID Type / Status
Subject Arvydas Sabonis E133116 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: [Arvydas Sabonis, playedFor, Žalgiris Kaunas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Žalgiris Kaunas
Context triple: [Arvydas Sabonis, 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a67c3248190ba35a7121eb49672 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e42174a88190b8b40cbc7815911f completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.