Triple

T17371465
Position Surface form Disambiguated ID Type / Status
Subject Panevėžys City Stadium E422324 entity
Predicate homeVenueOf P890 FINISHED
Object FK Panevėžys NE NERFINISHED

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: FK Panevėžys | Statement: [Panevėžys City Stadium, homeVenueOf, FK Panevėžys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FK Panevėžys
Context triple: [Panevėžys City Stadium, homeVenueOf, FK Panevėžys]
  • A. FK Panevėžys chosen
    FK Panevėžys is a professional Lithuanian football club based in the city of Panevėžys that competes in the country's top-tier league.
  • B. 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.
  • C. Pierikos F.C.
    Pierikos F.C. is a Greek professional football club based in the city of Katerini, competing in the national league system.
  • D. FK Liepāja
    FK Liepāja is a professional football club from the Latvian city of Liepāja that competes in the country’s top-tier league.
  • 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 (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a69d93c81908ce2d909857a3a11 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.