Triple

T17019889
Position Surface form Disambiguated ID Type / Status
Subject Jonas Kazlauskas E412920 entity
Predicate coached P2169 FINISHED
Object Lietuvos rytas Vilnius E864033 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: Lietuvos rytas Vilnius | Statement: [Jonas Kazlauskas, coached, Lietuvos rytas Vilnius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lietuvos rytas Vilnius
Context triple: [Jonas Kazlauskas, coached, Lietuvos rytas Vilnius]
  • A. Lietuvos rytas Vilnius chosen
    Lietuvos rytas Vilnius is a prominent professional basketball club from Vilnius, Lithuania, known for its domestic success and strong performances in European competitions.
  • B. Roshen Klaipėda factory
    The Roshen Klaipėda factory is a confectionery production plant in Klaipėda, Lithuania, operated by the Ukrainian sweets manufacturer Roshen.
  • C. Rytas Vilnius
    Rytas Vilnius is a prominent professional basketball club from Vilnius, Lithuania, known for competing at the highest national and European levels.
  • D. Skuodas
    Skuodas is a small historic town in northwestern Lithuania, known as one of the traditional centers of the Samogitian ethnographic region.
  • E. Rokiškis
    Rokiškis is a town in northeastern Lithuania known for its well-preserved manor, historic architecture, and role as a regional cultural center.
  • 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_6a011b4f9dfc819085639edb5cda1cca completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.