Triple

T1819290
Position Surface form Disambiguated ID Type / Status
Subject Alfréd Rényi E40505 entity
Predicate educatedAt P5 FINISHED
Object University of Budapest E29682 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: University of Budapest | Statement: [Alfréd Rényi, educatedAt, University of Budapest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Budapest
Context triple: [Alfréd Rényi, educatedAt, University of Budapest]
  • 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 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.
  • C. University of Pécs
    The University of Pécs is one of Hungary’s oldest and largest higher education institutions, offering a wide range of academic programs and research activities across multiple faculties.
  • D. University of Vienna
    The University of Vienna is one of Europe's oldest and largest universities, renowned for its contributions to the humanities and sciences since its founding in 1365.
  • E. Hungarian Academy of Sciences
    The Hungarian Academy of Sciences is Hungary’s foremost scholarly institution, responsible for supporting and coordinating scientific research and representing the country’s academic community.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf42de6081908182cd3bda9c69e9 completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:32 p.m.