Triple

T21419660
Position Surface form Disambiguated ID Type / Status
Subject Sobrance District E528401 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Sobrance 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: Sobrance | Statement: [Sobrance District, hasAdministrativeCenter, Sobrance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sobrance
Context triple: [Sobrance District, hasAdministrativeCenter, Sobrance]
  • A. Sobrance chosen
    Sobrance is a small town in eastern Slovakia near the Ukrainian border, known as an administrative center of the Sobrance District in the Košice Region.
  • B. Sučany
    Sučany is a village and municipality in northern Slovakia, situated in the Turiec region.
  • C. Sedlo
    Sedlo is a notable hill in the České středohoří range in the Czech Republic, known for its distinctive shape and scenic views.
  • D. Zelená Hora
    Zelená Hora is a hill in the Czech Republic best known for the UNESCO-listed Pilgrimage Church of St. John of Nepomuk designed by architect Jan Blažej Santini-Aichel.
  • E. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2ccddc08190b4f66fa6ccda41e2 completed April 22, 2026, 11:36 a.m.
Created at: April 16, 2026, 5:47 p.m.