Triple

T4091888
Position Surface form Disambiguated ID Type / Status
Subject Kaunas County E87721 entity
Predicate hasRiver P165 FINISHED
Object Nemunas River E406206 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: Nemunas River | Statement: [Kaunas County, hasRiver, Nemunas River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nemunas River
Context triple: [Kaunas County, hasRiver, Nemunas River]
  • A. Nemunas River chosen
    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.
  • B. Neris River
    The Neris River is a major river in Belarus and Lithuania that flows through the city of Kaunas before joining the Nemunas River.
  • C. Gauja
    Gauja is the longest river entirely within Latvia, known for its scenic valley, sandstone cliffs, and the national park that bears its name.
  • D. Daugava River
    The Daugava River is a major Eastern European river flowing through Russia, Belarus, and Latvia before emptying into the Baltic Sea.
  • E. Narva River
    The Narva River is a major river in northeastern Europe that forms part of the border between Estonia and Russia, flowing from Lake Peipus into 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcae22a081908af65a960306b78c completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5769e8b188190a6356c325d0551ea completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:40 p.m.