Triple

T17049127
Position Surface form Disambiguated ID Type / Status
Subject University of Split E413647 entity
Predicate nativeName P15 FINISHED
Object Sveučilište u Splitu E413647 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: Sveučilište u Splitu | Statement: [University of Split, nativeName, Sveučilište u Splitu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sveučilište u Splitu
Context triple: [University of Split, nativeName, Sveučilište u Splitu]
  • A. University of Split chosen
    The University of Split is a public higher education and research institution located in the coastal city of Split, Croatia.
  • B. University of Rijeka
    The University of Rijeka is a major Croatian public university and research institution located in the coastal city of Rijeka.
  • C. University of Zagreb
    The University of Zagreb is the oldest and largest university in Croatia, serving as a major center of higher education and research in the country.
  • D. Josip Juraj Strossmayer University of Osijek
    Josip Juraj Strossmayer University of Osijek is a major public university in Croatia, named after the 19th-century bishop and patron of education Josip Juraj Strossmayer.
  • E. University of Bihać
    The University of Bihać is a public higher education institution located in the city of Bihać in northwestern Bosnia and Herzegovina.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa092f08190a9e37404a9de662c completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012341b8e88190a2bee865be5ca1c1 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:34 a.m.