Triple

T19944947
Position Surface form Disambiguated ID Type / Status
Subject Vynohradiv E479398 entity
Predicate hasAlternativeName P39 FINISHED
Object Vinohradov 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: Vinohradov | Statement: [Vynohradiv, hasAlternativeName, Vinohradov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinohradov
Context triple: [Vynohradiv, hasAlternativeName, Vinohradov]
  • A. Vynohradiv chosen
    Vynohradiv is a town in western Ukraine’s Zakarpattia Oblast, known for its historical architecture and location near the Hungarian and Romanian borders.
  • B. Vynohradivka
    Vynohradivka is a settlement located on the shores of Lake Yalpuh in southwestern Ukraine.
  • C. Vokovice
    Vokovice is a residential district in the northwest of Prague known for its green spaces and proximity to the Divoká Šárka nature reserve.
  • D. Vigonovo
    Vigonovo is a small Italian town in the Veneto region, situated near Venice and known for its residential character and proximity to major transport routes.
  • E. Vrané nad Vltavou
    Vrané nad Vltavou is a small municipality in the Central Bohemian Region of the Czech Republic, situated on the Vltava River just south of Prague and functioning partly as a residential commuter town for the capital.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6654f481908089e1d66e17e024 completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.