Triple

T36080536
Position Surface form Disambiguated ID Type / Status
Subject Klavdija Kutnar E1043632 entity
Predicate affiliation P10 FINISHED
Object University of Primorska Faculty of Mathematics, Natural Sciences and Information Technologies E1043628 NE FINISHED

How this triple was built (1 step)

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 Primorska Faculty of Mathematics, Natural Sciences and Information Technologies | Statement: [Klavdija Kutnar, affiliation, University of Primorska Faculty of Mathematics, Natural Sciences and Information Technologies]

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_69f76e3154908190a6f702671c2bea08 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b23c3e308190915e51b2f1068fba completed May 3, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ddf9b75881909559c395ee69a03c completed June 22, 2026, 7:02 a.m.
Created at: May 3, 2026, 4:08 p.m.