Triple

T18868094
Position Surface form Disambiguated ID Type / Status
Subject Vilnius Historic Centre E461492 entity
Predicate traversedBy P225 FINISHED
Object River Vilnia 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: River Vilnia | Statement: [Vilnius Historic Centre, traversedBy, River Vilnia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Vilnia
Context triple: [Vilnius Historic Centre, traversedBy, River Vilnia]
  • A. Vilnia River chosen
    The Vilnia River is a picturesque tributary of the Neris River in Lithuania, flowing through and giving its name to the capital city of Vilnius.
  • B. Skvyra River
    Skvyra River is a small river in Ukraine that flows through the town of Skvyra in the Kyiv region.
  • C. 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.
  • D. Rižana River
    The Rižana River is a short Slovenian river that flows through the Istrian region before emptying into the Adriatic Sea near the Gulf of Trieste.
  • E. Litava River
    The Litava River is a watercourse in the South Moravian Region of the Czech Republic that flows through towns such as Slavkov u Brna before joining larger river systems.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a6d1d081909b6dab2a5166a317 completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.