Triple

T3757279
Position Surface form Disambiguated ID Type / Status
Subject George Szekeres E82077 entity
Predicate educatedAt P5 FINISHED
Object Eötvös Loránd University 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: Eötvös Loránd University | Statement: [George Szekeres, educatedAt, Eötvös Loránd University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eötvös Loránd University
Context triple: [George Szekeres, educatedAt, Eötvös Loránd University]
  • 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. 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.
  • 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 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.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbbe7a6081909b0f835a77941300 completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f0321c4c8190ba372148c483c4ca completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:35 p.m.