Triple

T4091889
Position Surface form Disambiguated ID Type / Status
Subject Kaunas County E87721 entity
Predicate hasRiver 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: [Kaunas County, hasRiver, Neris River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neris River
Context triple: [Kaunas County, hasRiver, 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. 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.
  • D. 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.
  • E. Struma River
    The Struma River is a major river in the Balkans that flows through southwestern Bulgaria and northeastern Greece before emptying into the Aegean 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_69b57f1d1ab081909b7999e8feede458 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:40 p.m.