Triple

T14432140
Position Surface form Disambiguated ID Type / Status
Subject Újvidék E357860 entity
Predicate hasUniversity P113 FINISHED
Object University of Novi Sad E352034 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 Novi Sad | Statement: [Újvidék, hasUniversity, University of Novi Sad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: University of Novi Sad
Context triple: [Újvidék, hasUniversity, 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 Banja Luka
    The University of Banja Luka is a major public higher education and research institution located in Banja Luka, Bosnia and Herzegovina.
  • D. 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.
  • E. University of Split
    The University of Split is a public higher education and research institution located in the coastal city of Split, Croatia.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d84fd888190b05dcf9191bae337 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:18 a.m.