Triple

T12063998
Position Surface form Disambiguated ID Type / Status
Subject Berounka River E287246 entity
Predicate flowsThrough P225 FINISHED
Object Srbsko E710902 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: Srbsko | Statement: [Berounka River, flowsThrough, Srbsko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Srbsko
Context triple: [Berounka River, flowsThrough, Srbsko]
  • A. Srbsko chosen
    Srbsko is a small village in the Central Bohemian Region of the Czech Republic, known for its scenic location along the Berounka River and proximity to the Bohemian Karst nature reserve.
  • B. Serbja
    Serbja are a West Slavic ethnic minority primarily living in eastern Germany, known for their distinct Sorbian language and culture.
  • C. Serbia
    Serbia is a landlocked country in Southeast Europe, located in the central and western Balkans, known for its historical ties to Yugoslavia and its capital city, Belgrade.
  • D. Servia
    Servia is a town in northern Greece located in the Kozani regional unit of Western Macedonia.
  • E. Czarna Górna
    Czarna Górna is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90440dd988190ae2b80367aceb6f7 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63454d1b88190a01db0e2a7363d05 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:48 p.m.