Triple

T20053170
Position Surface form Disambiguated ID Type / Status
Subject Pezinok District E499255 entity
Predicate containsMunicipality P852 FINISHED
Object Viničné 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: Viničné | Statement: [Pezinok District, containsMunicipality, Viničné]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viničné
Context triple: [Pezinok District, containsMunicipality, Viničné]
  • A. Viničné chosen
    Viničné is a village and municipality in western Slovakia, known for its wine-growing tradition and proximity to the capital city, Bratislava.
  • B. Winer
    Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
  • C. Cerak Vinogradi
    Cerak Vinogradi is a residential neighborhood in Belgrade, Serbia, known for its planned urban design and characteristic modernist apartment blocks.
  • D. Vrosina
    Vrosina is a small village in northwestern Greece situated in the mountainous region of Epirus.
  • E. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6633043a481908359ad232607182a completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.