Triple

T7553856
Position Surface form Disambiguated ID Type / Status
Subject University of Montenegro E178607 entity
Predicate nativeName P15 FINISHED
Object Univerzitet Crne Gore E178607 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: Univerzitet Crne Gore | Statement: [University of Montenegro, nativeName, Univerzitet Crne Gore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Univerzitet Crne Gore
Context triple: [University of Montenegro, nativeName, Univerzitet Crne Gore]
  • A. University of Montenegro chosen
    The University of Montenegro is the largest and oldest public higher education and research institution in Montenegro, offering a wide range of academic programs across multiple faculties.
  • B. University of Niš
    The University of Niš is a major public higher education and research institution located in the city of Niš, Serbia.
  • C. University of Pristina
    The University of Pristina is a major public higher education and research institution located in Pristina, the capital of Kosovo.
  • D. University of Belgrade
    The University of Belgrade is a major public research university in Serbia and one of the oldest and largest higher education institutions in the Balkans.
  • E. University of Novi Sad
    The University of Novi Sad is a major public research university in Serbia and one of the largest educational and scientific centers in Central and Southeast Europe.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f3602008190aa91cf55e43bdf30 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.