Triple

T4681984
Position Surface form Disambiguated ID Type / Status
Subject Vilnius Region E103823 entity
Predicate majorRiver P165 FINISHED
Object Neris River E109196 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: Neris River | Statement: [Vilnius Region, majorRiver, Neris River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neris River
Context triple: [Vilnius Region, majorRiver, Neris River]
  • A. Neris River chosen
    The Neris River is a major river in Belarus and Lithuania that flows through the city of Kaunas before joining the Nemunas River.
  • B. Nemunas River
    The Nemunas River is the largest river in Lithuania, flowing through major cities like Kaunas and forming part of the country’s border before emptying into the Curonian Lagoon.
  • C. Vaivase River
    Vaivase River is a waterway in Samoa that flows through the area of Apia, contributing to the capital’s local watershed and landscape.
  • D. Lielupe River
    The Lielupe River is a major river in Latvia that flows through the country’s central lowlands before emptying into the Gulf of Riga in the Baltic Sea.
  • E. Alzette River
    The Alzette River is a major river in Luxembourg and northeastern France that flows through key cities including Luxembourg City and Esch-sur-Alzette before joining the Sauer.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd637fedd0819097f59734a9f9a01f completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03ac44d481908ecb1fe84184a886 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.