Triple

T12861778
Position Surface form Disambiguated ID Type / Status
Subject Bytča District E307611 entity
Predicate hasMunicipality P847 FINISHED
Object Bytča E63869 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: Bytča | Statement: [Bytča District, hasMunicipality, Bytča]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bytča
Context triple: [Bytča District, hasMunicipality, Bytča]
  • A. Bytča chosen
    Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
  • B. Pribylina
    Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
  • C. Tisovec
    Tisovec is a small Slovak town known for its historical architecture and scenic location in the Rimavská Sobota District of the Banská Bystrica Region.
  • D. Beloslav
    Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
  • E. Grintovec
    Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708ba74881909b16c1e2ef5115db completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb93c688190910ffb6bc6fbef3f completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:37 p.m.