Triple

T15382048
Position Surface form Disambiguated ID Type / Status
Subject Roshen Klaipėda factory E367827 entity
Predicate locatedIn P40 FINISHED
Object Klaipėda County E503526 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: Klaipėda County | Statement: [Roshen Klaipėda factory, locatedIn, Klaipėda County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klaipėda County
Context triple: [Roshen Klaipėda factory, locatedIn, Klaipėda County]
  • A. Klaipėda County chosen
    Klaipėda County is a coastal administrative region in western Lithuania that includes the port city of Klaipėda and surrounding areas on the Baltic Sea.
  • B. 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.
  • 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. 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.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5bc43c81908ffdb7819e3660d9 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.