Triple

T9090311
Position Surface form Disambiguated ID Type / Status
Subject Kaposvár E217864 entity
Predicate hasUniversity P113 FINISHED
Object University of Kaposvár E365577 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 Kaposvár | Statement: [Kaposvár, hasUniversity, University of Kaposvár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Kaposvár
Context triple: [Kaposvár, hasUniversity, University of Kaposvár]
  • A. University of Kaposvár chosen
    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.
  • B. 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.
  • C. University of Sopron
    The University of Sopron is a Hungarian higher education institution known for its programs in forestry, economics, and social sciences, located in the historic city of Sopron near the Austrian border.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965971f88190acffbf204c11832b completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017ecc8b4819094dc0b009484ec00 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.