Triple

T3682794
Position Surface form Disambiguated ID Type / Status
Subject Albert Szent-Györgyi E78148 entity
Predicate employer P7 FINISHED
Object University of Szeged E195294 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 Szeged | Statement: [Albert Szent-Györgyi, employer, University of Szeged]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Szeged
Context triple: [Albert Szent-Györgyi, employer, University of Szeged]
  • A. University of Szeged chosen
    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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. University of Budapest
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4948cc48190ab1f59cc4a2437cc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daffd6bc81908ac7a4b8b4073bc0 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:25 p.m.