Triple

T17046589
Position Surface form Disambiguated ID Type / Status
Subject Prague Region E413585 entity
Predicate majorRiver P165 FINISHED
Object Vltava E108852 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: Vltava | Statement: [Prague Region, majorRiver, Vltava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vltava
Context triple: [Prague Region, majorRiver, Vltava]
  • A. Vltava River chosen
    The Vltava River is the longest river in the Czech Republic, flowing through the capital city of Prague and serving as a central feature of its landscape and history.
  • B. Vltavská
    Vltavská is a Prague Metro station on Line C, located near the Vltava River in the Holešovice area of Prague, Czech Republic.
  • C. Svitava River
    The Svitava River is a significant river in the eastern Czech Republic that flows through cities such as Brno before joining the Svratka 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. Jihlava River
    The Jihlava River is a significant river in the Czech Republic that flows through the Vysočina Region and South Moravia, passing towns such as Jihlava and contributing to the Dalešice Reservoir before joining the Svratka River.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9e3d8881909f197aba0e4c97e7 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fbb89fc81908d2355d36ea2469e completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 5:33 a.m.