Triple

T12861796
Position Surface form Disambiguated ID Type / Status
Subject Bytča District E307611 entity
Predicate locatedOnRiver P165 FINISHED
Object Váh River E322736 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: Váh River | Statement: [Bytča District, locatedOnRiver, Váh River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Váh River
Context triple: [Bytča District, locatedOnRiver, Váh River]
  • A. Váh River chosen
    The Váh River is the longest river in Slovakia, flowing from the Tatra Mountains through much of the country before joining the Danube.
  • B. Opava River
    The Opava River is a significant watercourse in the Czech Republic that flows through the historical region of Silesia, including the city of Opava, before joining the Oder River.
  • C. Žitava River
    The Žitava River is a river in southern Slovakia that flows through the Danubian Lowland before joining the Nitra River.
  • D. Havel River
    The Havel River is a major waterway in northeastern Germany that flows through Berlin and Brandenburg, connecting numerous lakes and serving as an important route for transport and recreation.
  • E. Hron River
    The Hron River is a major river in central Slovakia that flows through mountainous regions including the Low Tatras before joining the Danube.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708ba74881909b16c1e2ef5115db completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75467a1a081908395b48615e3ea9b completed May 3, 2026, 1:57 p.m.
Created at: April 9, 2026, 5:37 p.m.