Triple

T23306838
Position Surface form Disambiguated ID Type / Status
Subject Bečva River E590467 entity
Predicate hasNameInCzech P17790 FINISHED
Object Bečva 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: Bečva | Statement: [Bečva River, hasNameInCzech, Bečva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bečva
Context triple: [Bečva River, hasNameInCzech, Bečva]
  • A. Bečva chosen
    Bečva is a river in the eastern Czech Republic that flows through the Moravian region before joining the Morava River.
  • B. Bešeňová
    Bešeňová is a village in northern Slovakia known for its popular thermal spa and aquapark resort.
  • C. Veliki Bečkerek
    Veliki Bečkerek is the former name of the Serbian city now known as Zrenjanin, a regional center in the Banat area of Vojvodina.
  • D. Dúbravka
    Dúbravka is a borough of Bratislava known as a largely residential area with local amenities and green spaces on the city’s western side.
  • E. Božava
    Božava is a small coastal village and tourist resort on the island of Dugi Otok in Croatia, known for its picturesque harbor and nearby beaches.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972846fc819092ca2b9590b2e177 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.