Triple

T10461646
Position Surface form Disambiguated ID Type / Status
Subject Špindlerův Mlýn E246687 entity
Predicate locatedOn P40 FINISHED
Object Labe River E550648 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: Labe River | Statement: [Špindlerův Mlýn, locatedOn, Labe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labe River
Context triple: [Špindlerův Mlýn, locatedOn, Labe River]
  • A. Labe chosen
    Labe, known internationally as the Elbe, is a major Central European river that flows from the Czech Republic through Germany to the North Sea.
  • 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. Vltava River
    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.
  • D. 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.
  • 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 (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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50883b62c819082711b8c9fd968e3 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d979fa05d8819087e2167cc9247598 completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:19 p.m.