Triple

T6708632
Position Surface form Disambiguated ID Type / Status
Subject Alytus E153072 entity
Predicate isCapitalOf P204 FINISHED
Object Alytus County E438538 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: Alytus County | Statement: [Alytus, isCapitalOf, Alytus County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alytus County
Context triple: [Alytus, isCapitalOf, Alytus County]
  • A. Alytus County chosen
    Alytus County is an administrative region in southern Lithuania known for its forests, lakes, and the city of Alytus as its main urban center.
  • B. Vilnius County
    Vilnius County is an administrative region in southeastern Lithuania that encompasses the nation’s capital, Vilnius, and serves as one of the country’s primary economic and cultural centers.
  • C. Tauragė County
    Tauragė County is an administrative region in western Lithuania known for its small industrial centers and proximity to the border with Kaliningrad Oblast (Russia).
  • D. Marijampolė County
    Marijampolė County is an administrative region in southern Lithuania known for its agricultural landscape and the city of Marijampolė as its capital.
  • E. Kaunas County
    Kaunas County is an administrative region in central Lithuania that encompasses the country’s second-largest city, Kaunas, and serves as an important economic and cultural hub.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1049b7c8190a970a165d15b440b completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af6d1608190887c5d9f94ffe9fa completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:06 p.m.