Triple

T17771975
Position Surface form Disambiguated ID Type / Status
Subject Seimas Palace E443661 entity
Predicate locatedNear P294 FINISHED
Object Neris River NE NERFINISHED

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: [Seimas Palace, locatedNear, Neris River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neris River
Context triple: [Seimas Palace, locatedNear, 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. Akmena-Danė River
    The Akmena-Danė River is a waterway in western Lithuania that flows through the port city of Klaipėda before emptying into the Curonian Lagoon.
  • D. Jūra River
    The Jūra River is a significant waterway in western Lithuania that flows through towns like Tauragė before joining the Nemunas River.
  • E. Šalčia River
    The Šalčia River is a smaller river in southeastern Lithuania that flows through forested and rural areas before joining the Merkys River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e486005770819085d637279b2334eb completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.