Triple

T22867512
Position Surface form Disambiguated ID Type / Status
Subject BC Statyba Vilnius E567093 entity
Predicate hasAbbreviation P43 FINISHED
Object Statyba Vilnius 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: Statyba Vilnius | Statement: [BC Statyba Vilnius, hasAbbreviation, Statyba Vilnius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Statyba Vilnius
Context triple: [BC Statyba Vilnius, hasAbbreviation, Statyba Vilnius]
  • A. Statyba Vilnius chosen
    Statyba Vilnius was a prominent basketball club from Vilnius, Lithuania, known for competing in the Soviet and later Lithuanian basketball leagues.
  • B. Vilnius
    Vilnius is the capital and largest city of Lithuania, known for its well-preserved medieval Old Town and rich cultural and historical heritage.
  • C. Vilnius city municipality
    Vilnius city municipality is the primary local government and administrative division encompassing Lithuania’s capital city, Vilnius.
  • D. Kaunas
    Kaunas is the second-largest city in Lithuania, known as a historic cultural and academic center located at the confluence of the Nemunas and Neris rivers.
  • E. Vilnius District Municipality
    Vilnius District Municipality is an administrative region surrounding Lithuania’s capital, known for its ethnically diverse population and mix of urban, suburban, and rural communities.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f0210b481908e0e6c4f95ba5a3b completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.