Triple

T14367955
Position Surface form Disambiguated ID Type / Status
Subject Budapest District XXII E356283 entity
Predicate contains P35 FINISHED
Object Budatétény E1081703 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: Budatétény | Statement: [Budapest District XXII, contains, Budatétény]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budatétény
Context triple: [Budapest District XXII, contains, Budatétény]
  • A. Budatétény chosen
    Budatétény is a neighborhood in the southern part of Budapest, Hungary, known for hosting the Memento Park (Szoborpark) with its collection of communist-era statues.
  • B. Tótkomlós
    Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
  • C. Kis-Küküllő
    Kis-Küküllő is the Hungarian name for the Târnava Mică River, a tributary of the Târnava Mare in central Romania’s Transylvanian region.
  • D. Pest-Buda
    Pest-Buda was the historic twin-city on the banks of the Danube—comprising Pest and Buda—that served as a political and cultural center of Hungary before its unification into modern Budapest.
  • E. Mundruczó
    Mundruczó is the surname of Hungarian film and theatre director Kornél Mundruczó, known for his innovative and often provocative works.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.