Triple

T9547663
Position Surface form Disambiguated ID Type / Status
Subject City of Niš E230334 entity
Predicate hasUniversity P113 FINISHED
Object University of Niš E461441 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 Niš | Statement: [City of Niš, hasUniversity, University of Niš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Niš
Context triple: [City of Niš, hasUniversity, University of Niš]
  • A. University of Niš chosen
    The University of Niš is a major public higher education and research institution located in the city of Niš, Serbia.
  • B. 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.
  • C. 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.
  • D. University of Banja Luka
    The University of Banja Luka is a major public higher education and research institution located in Banja Luka, Bosnia and Herzegovina.
  • E. University of Pristina
    The University of Pristina is a major public higher education and research institution located in Pristina, the capital of Kosovo.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9904732c8190ab60ecc47c995cbe completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c7be5008190a16036525fd9059e completed April 4, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:02 p.m.