Triple

T19617345
Position Surface form Disambiguated ID Type / Status
Subject Bradlava E470899 entity
Predicate tributaryOf P415 FINISHED
Object Úslava 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: Úslava | Statement: [Bradlava, tributaryOf, Úslava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Úslava
Context triple: [Bradlava, tributaryOf, Úslava]
  • A. Úslava chosen
    Úslava is a river in the western Czech Republic that flows through the city of Plzeň and forms part of its local river system.
  • B. Znamianka
    Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
  • C. Mojstrovka
    Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
  • D. Sudylkiv
    Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
  • E. Udelnaya
    Udelnaya is a residential neighborhood and railway station area in the northern part of Saint Petersburg, Russia.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e346548190b12e38d716bdfc4f completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.