Triple

T16888670
Position Surface form Disambiguated ID Type / Status
Subject Nenad Medvidović E421605 entity
Predicate educatedAt P5 FINISHED
Object University of Zagreb E160586 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 Zagreb | Statement: [Nenad Medvidović, educatedAt, University of Zagreb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Zagreb
Context triple: [Nenad Medvidović, educatedAt, University of Zagreb]
  • A. University of Zagreb chosen
    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.
  • 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 Split
    The University of Split is a public higher education and research institution located in the coastal city of Split, Croatia.
  • 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 Sarajevo
    The University of Sarajevo is the largest and oldest public university in Bosnia and Herzegovina, serving as the country’s leading center for higher education and research.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc2f6d081909c76fa2a6b87e083 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2befaa88190ba83dc17aa66b541 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.