Triple

T20836618
Position Surface form Disambiguated ID Type / Status
Subject Miklós Ajtai E512974 entity
Predicate educatedAt P5 FINISHED
Object Eötvös Loránd University NE NERFINISHED

How this triple was built (3 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: Eötvös Loránd University | Statement: [Miklós Ajtai, educatedAt, Eötvös Loránd University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eötvös Loránd University
Context triple: [Miklós Ajtai, educatedAt, Eötvös Loránd University]
  • A. University of Budapest
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • B. 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.
  • C. Pázmány Péter University
    Pázmány Péter University is a historic Hungarian institution of higher education in Budapest, known for its strong traditions in the humanities, law, and theology.
  • D. 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.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eötvös Loránd University
Target entity description: Eötvös Loránd University is one of Hungary’s oldest and most prestigious research universities, located in Budapest and renowned for its strong programs in the sciences and humanities.
  • A. University of Budapest chosen
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • B. 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.
  • C. Pázmány Péter University
    Pázmány Péter University is a historic Hungarian institution of higher education in Budapest, known for its strong traditions in the humanities, law, and theology.
  • D. 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.
  • 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.

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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c326daec8190bd4caa41a4b38833 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.