Triple

T19097148
Position Surface form Disambiguated ID Type / Status
Subject Nivy E467434 entity
Predicate hasStreet P959 FINISHED
Object Košická 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: Košická | Statement: [Nivy, hasStreet, Košická]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Košická
Context triple: [Nivy, hasStreet, Košická]
  • A. Kysuce
    Kysuce is a mountainous region in northwestern Slovakia known for its forests, traditional villages, and proximity to the Czech and Polish borders.
  • B. Koshice chosen
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • C. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • D. Kremnica
    Kremnica is a historic Slovak town renowned for its medieval mining heritage and one of the world’s oldest continuously operating mints.
  • E. Dôle
    Dôle is a traditional Swiss red wine blend from the Valais region, typically made from Pinot Noir and Gamay grapes and known for its fruity, approachable character.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.