Triple

T14865722
Position Surface form Disambiguated ID Type / Status
Subject 13th District of Budapest E349610 entity
Predicate contains P35 FINISHED
Object Vizafogó E349613 NE FINISHED

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: Vizafogó | Statement: [13th District of Budapest, contains, Vizafogó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vizafogó
Context triple: [13th District of Budapest, contains, Vizafogó]
  • A. Vizafogó chosen
    Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
  • B. Vézinet
    Vézinet is a comic character from Eugène Labiche’s farce "Il cappello di paglia di Firenze" ("The Italian Straw Hat"), typically portrayed as a flustered, middle-class Parisian entangled in the play’s escalating misunderstandings.
  • C. Felvidék
    Felvidék is a historical term, mainly used in Hungarian contexts, referring to the northern upland regions of the former Kingdom of Hungary, much of which lies in present-day Slovakia.
  • D. Gárdony
    Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
  • E. Pilisvörösvár
    Pilisvörösvár is a town in central Hungary known for its German minority heritage and proximity to Budapest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650e8aec8190acd4a9cb9cad2039 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.