Triple

T17616414
Position Surface form Disambiguated ID Type / Status
Subject Liptovská Mara E429093 entity
Predicate outflow P967 FINISHED
Object Váh River 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: Váh River | Statement: [Liptovská Mara, outflow, Váh River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Váh River
Context triple: [Liptovská Mara, outflow, 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 (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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d32991c81909801161b0a416c94 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.