Triple

T13224254
Position Surface form Disambiguated ID Type / Status
Subject Budapest University of Technology and Economics E314833 entity
Predicate nativeName P15 FINISHED
Object Budapesti Műszaki és Gazdaságtudományi Egyetem E314833 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: Budapesti Műszaki és Gazdaságtudományi Egyetem | Statement: [Budapest University of Technology and Economics, nativeName, Budapesti Műszaki és Gazdaságtudományi Egyetem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budapesti Műszaki és Gazdaságtudományi Egyetem
Context triple: [Budapest University of Technology and Economics, nativeName, Budapesti Műszaki és Gazdaságtudományi Egyetem]
  • A. Budapest University of Technology and Economics chosen
    Budapest University of Technology and Economics is a leading Hungarian institution of higher education renowned for its engineering and scientific programs and for producing prominent researchers and Nobel laureates.
  • B. Kolozsvári Egyetem
    Kolozsvári Egyetem is a historic Hungarian-language university in Kolozsvár (Cluj), known for its significant role in the cultural and academic life of Transylvania.
  • C. Kandó Kálmán Technical College
    Kandó Kálmán Technical College was a Hungarian higher education institution specializing in engineering and technical studies that later became part of Óbuda University.
  • D. University of Debrecen
    The University of Debrecen is one of Hungary’s oldest and largest higher education institutions, known for its comprehensive academic programs and significant research output.
  • E. University of Szeged
    The University of Szeged is one of Hungary’s leading public research universities, known for its strong academic programs and historic campus in the city of Szeged.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3128348190836158467e9cfbe2 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3407388190bef886884cb75912 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:19 p.m.