Triple

T16627499
Position Surface form Disambiguated ID Type / Status
Subject Zułowo E403986 entity
Predicate locatedIn P40 FINISHED
Object Vilnius County E465807 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: Vilnius County | Statement: [Zułowo, locatedIn, Vilnius County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilnius County
Context triple: [Zułowo, locatedIn, Vilnius County]
  • A. Vilnius County chosen
    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.
  • B. 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).
  • C. Alytus County
    Alytus County is an administrative region in southern Lithuania known for its forests, lakes, and the city of Alytus as its main urban center.
  • D. 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.
  • E. Klaipėda County
    Klaipėda County is a coastal administrative region in western Lithuania that includes the port city of Klaipėda and surrounding areas on the Baltic Sea.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e2683481908c9a5ed895a09a6e completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2d802881909abd846cc54f04fc completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:17 a.m.