Triple

T17133669
Position Surface form Disambiguated ID Type / Status
Subject Ranko Matasović E415781 entity
Predicate employer P7 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: [Ranko Matasović, employer, University of Zagreb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Zagreb
Context triple: [Ranko Matasović, employer, 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02cbb7881908aa69c3443d149d5 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414eca3c8190aeec22fab3b5e767 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.