Triple

T4704772
Position Surface form Disambiguated ID Type / Status
Subject Váh E104365 entity
Predicate formedByConfluenceOf P402 FINISHED
Object Black Váh E466140 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: Black Váh | Statement: [Váh, formedByConfluenceOf, Black Váh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Váh
Context triple: [Váh, formedByConfluenceOf, Black Váh]
  • A. Black Váh chosen
    Black Váh is one of the two main headwater branches of the Váh River in Slovakia, originating in the Tatra Mountains and contributing significantly to the river’s upper course.
  • B. White Váh
    White Váh is one of the two main headwater streams that join to form the Váh River in northern Slovakia.
  • C. Hornád River
    The Hornád River is a Central European river flowing through eastern Slovakia and northeastern Hungary, passing major cities such as Košice before joining the Slaná/Sajó River.
  • D. Svitava
    Svitava is a river in the Czech Republic that flows through the city of Brno and is one of its main waterways.
  • E. Berounka
    Berounka is a major river in western Bohemia in the Czech Republic, known for flowing through the Plzeň Region and eventually joining the Vltava near Prague.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d1e9c48190bad5f7d68bf0f622 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d7ad90c8190b6f36472a209a0f9 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:17 p.m.