Triple

T20396354
Position Surface form Disambiguated ID Type / Status
Subject Brasla E500213 entity
Predicate riverSystem P1009 FINISHED
Object Gauja River system 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: Gauja River system | Statement: [Brasla, riverSystem, Gauja River system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gauja River system
Context triple: [Brasla, riverSystem, Gauja River system]
  • A. Gauja chosen
    Gauja is the longest river entirely within Latvia, known for its scenic valley, sandstone cliffs, and the national park that bears its name.
  • 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. 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.
  • E. 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.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798b6640819085d5b12dc35633fe completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:28 a.m.