Triple

T21155477
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Mechanical Engineering, University of Sarajevo E521300 entity
Predicate hasAbbreviation P43 FINISHED
Object FME Sarajevo — NE NERFINISHED

How this triple was built (3 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: FME Sarajevo | Statement: [Faculty of Mechanical Engineering, University of Sarajevo, hasAbbreviation, FME Sarajevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FME Sarajevo
Context triple: [Faculty of Mechanical Engineering, University of Sarajevo, hasAbbreviation, FME Sarajevo]
  • A. Banja Luka
    Banja Luka is the second-largest city of Bosnia and Herzegovina and the administrative center of the Republika Srpska entity, known for its riverside setting, Austro-Hungarian architecture, and cultural life.
  • B. Željo Sarajevo
    Željo Sarajevo is a Bosnian professional football club from Sarajevo, widely recognized as one of the country’s most successful and popular teams.
  • C. Bihać, Bosnia and Herzegovina
    Bihać is a historic city in northwestern Bosnia and Herzegovina, situated on the Una River and known for its natural beauty and role as a regional cultural and economic center.
  • D. Novo Sarajevo
    Novo Sarajevo is a central municipality of Sarajevo, Bosnia and Herzegovina, known for its dense urban development, commercial centers, and post-war reconstruction.
  • E. Osijek
    Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FME Sarajevo
Target entity description: FME Sarajevo is the Faculty of Mechanical Engineering at the University of Sarajevo, a higher education institution specializing in mechanical engineering education and research.
  • A. Banja Luka
    Banja Luka is the second-largest city of Bosnia and Herzegovina and the administrative center of the Republika Srpska entity, known for its riverside setting, Austro-Hungarian architecture, and cultural life.
  • B. Željo Sarajevo
    Željo Sarajevo is a Bosnian professional football club from Sarajevo, widely recognized as one of the country’s most successful and popular teams.
  • C. Bihać, Bosnia and Herzegovina
    Bihać is a historic city in northwestern Bosnia and Herzegovina, situated on the Una River and known for its natural beauty and role as a regional cultural and economic center.
  • D. Novo Sarajevo
    Novo Sarajevo is a central municipality of Sarajevo, Bosnia and Herzegovina, known for its dense urban development, commercial centers, and post-war reconstruction.
  • E. Osijek
    Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
  • F. None of above. chosen

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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252b40ac81908ab7e30c662a6c94 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:58 p.m.