Triple

T17470447
Position Surface form Disambiguated ID Type / Status
Subject Judith Bridge E425397 entity
Predicate crosses P416 FINISHED
Object Vltava 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: Vltava River | Statement: [Judith Bridge, crosses, Vltava River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vltava River
Context triple: [Judith Bridge, crosses, Vltava River]
  • 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. 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.
  • C. Váh River
    The Váh River is the longest river in Slovakia, flowing from the Tatra Mountains through much of the country before joining the Danube.
  • D. 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.
  • E. 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.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451abab908190b6d9d8a64f7c2ea3 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.