Triple

T22711228
Position Surface form Disambiguated ID Type / Status
Subject Josip Juraj Strossmayer University of Osijek E561603 entity
Predicate hasCampusIn P4623 FINISHED
Object Đakovo NE NERFINISHED

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: Đakovo | Statement: [Josip Juraj Strossmayer University of Osijek, hasCampusIn, Đakovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Đakovo
Context triple: [Josip Juraj Strossmayer University of Osijek, hasCampusIn, Đakovo]
  • A. Đakovo chosen
    Đakovo is a historic town in eastern Croatia renowned for its cathedral, cultural heritage, and role as a regional center in Slavonia.
  • B. Koprivnica
    Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
  • C. Jastrebarsko
    Jastrebarsko is a small historic town in central Croatia known for its wine-growing region and cultural heritage.
  • D. Dedinje
    Dedinje is an affluent residential neighborhood in Belgrade, Serbia, known for its villas, diplomatic residences, and prominent landmarks.
  • E. Omišalj
    Omišalj is a historic coastal town and tourist destination on the northern part of the Croatian island of Krk, overlooking the Kvarner Gulf.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17907d7288190bb53f76974f95cef completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:18 p.m.