Triple

T17562122
Position Surface form Disambiguated ID Type / Status
Subject Košariská E427716 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Myjava District 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: Myjava District | Statement: [Košariská, locatedInAdministrativeEntity, Myjava District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myjava District
Context triple: [Košariská, locatedInAdministrativeEntity, Myjava District]
  • A. Myjava District chosen
    Myjava District is an administrative district in western Slovakia known for its hilly landscape, traditional folk culture, and location within the Trenčín Region.
  • B. My Loc District
    My Loc District is a rural administrative district located within Nam Dinh Province in northern Vietnam.
  • C. Javel district
    Javel district is a neighborhood in southwestern Paris known historically for its industrial past and riverside location along the Seine.
  • D. Miji
    Miji are an indigenous ethnic group of Arunachal Pradesh in northeastern India, known for their distinct Tibeto-Burman language and traditional hill culture.
  • E. Moema district
    Moema district is an affluent, centrally located neighborhood in São Paulo, Brazil, known for its residential high-rises, shopping, dining, and proximity to Ibirapuera Park.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456274c888190ac80402e391674dd completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.