Triple

T8352796
Position Surface form Disambiguated ID Type / Status
Subject Cella Septichora Visitor Centre E196602 entity
Predicate operatedBy P86 FINISHED
Object János Szentágothai Research Centre of the University of Pécs E199408 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: János Szentágothai Research Centre of the University of Pécs | Statement: [Cella Septichora Visitor Centre, operatedBy, János Szentágothai Research Centre of the University of Pécs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: János Szentágothai Research Centre of the University of Pécs
Context triple: [Cella Septichora Visitor Centre, operatedBy, János Szentágothai Research Centre of the University of Pécs]
  • A. Szeged Biological Research Centre
    The Szeged Biological Research Centre is a major Hungarian research institute renowned for its fundamental and applied work in molecular biology, genetics, and related life sciences.
  • B. University of Pécs chosen
    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.
  • C. 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.
  • D. 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.
  • 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 (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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80460f048190aa298ddffde1047d completed March 31, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc75623488190be3303f5e75784e8 completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 5:59 p.m.