Triple

T20368132
Position Surface form Disambiguated ID Type / Status
Subject ÓE E496969 entity
Predicate hasOfficialName P66 FINISHED
Object Óbudai Egyetem 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: Óbudai Egyetem | Statement: [ÓE, hasOfficialName, Óbudai Egyetem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Óbudai Egyetem
Context triple: [ÓE, hasOfficialName, Óbudai Egyetem]
  • A. Óbudai Egyetem chosen
    Óbudai Egyetem is a Hungarian public university in Budapest known for its strong focus on engineering, informatics, and applied sciences.
  • B. Corvinus University of Budapest
    Corvinus University of Budapest is a prominent Hungarian higher education institution in Budapest, renowned for its programs in economics, business, and social sciences.
  • C. University of Budapest
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • D. University of Kaposvár
    The University of Kaposvár is a Hungarian higher education institution located in the city of Kaposvár, known for its programs in agriculture, animal science, arts, and economics.
  • E. 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.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.