Triple

T16977951
Position Surface form Disambiguated ID Type / Status
Subject Thurzó family E411861 entity
Predicate associatedWithPlace P2830 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: [Thurzó family, associatedWithPlace, Bytča]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bytča
Context triple: [Thurzó family, associatedWithPlace, 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. Hvozdnica
    Hvozdnica is a small village and municipality in northern Slovakia known for its rural character and location within the Žilina Region.
  • C. Pribylina
    Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
  • D. Dračice
    Dračice is a smaller river in the Czech Republic that serves as one of the tributaries feeding into the Lužnice River.
  • E. 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.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d184f2cc81908ac629c8f87696f8 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232f69308190b4799ffcaaa98eeb completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:32 a.m.