Triple

T23118693
Position Surface form Disambiguated ID Type / Status
Subject Dragutin Zelenović E576827 entity
Predicate employer P7 FINISHED
Object University of Novi Sad NE NERFINISHED

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 Novi Sad | Statement: [Dragutin Zelenović, employer, University of Novi Sad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Novi Sad
Context triple: [Dragutin Zelenović, employer, University of Novi Sad]
  • A. University of Novi Sad chosen
    The University of Novi Sad is a major public research university in Serbia and one of the largest educational and scientific centers in Central and Southeast Europe.
  • B. University of Niš
    The University of Niš is a major public higher education and research institution located in the city of Niš, Serbia.
  • C. University of Kragujevac
    The University of Kragujevac is a public higher education and research institution in Kragujevac, Serbia, comprising multiple faculties across various academic disciplines.
  • D. University of Banja Luka
    The University of Banja Luka is a major public higher education and research institution located in Banja Luka, Bosnia and Herzegovina.
  • E. University of Belgrade
    The University of Belgrade is a major public research university in Serbia and one of the oldest and largest higher education institutions in the Balkans.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e4dd7d8819087cc50b2dc94798e completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.