Triple

T18166135
Position Surface form Disambiguated ID Type / Status
Subject Belgrade Pashaluk E434898 entity
Predicate includedRegion P285 FINISHED
Object Braničevo 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: Braničevo | Statement: [Belgrade Pashaluk, includedRegion, Braničevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braničevo
Context triple: [Belgrade Pashaluk, includedRegion, Braničevo]
  • A. Branicevo chosen
    Branicevo is a historical region in the central Balkans, located in present-day eastern Serbia, that served as an important medieval political and cultural center.
  • B. Baroševac
    Baroševac is a village located within the Lazarevac municipality in the Belgrade District of Serbia.
  • C. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • D. Boljevac
    Boljevac is a small town and municipality in eastern Serbia known for its rural surroundings and proximity to the Carpatho-Balkan mountain range.
  • E. Bujanovac
    Bujanovac is a multiethnic town in southern Serbia known for its significant Albanian minority population and its location near the borders with North Macedonia and Kosovo.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec7e41c8190bd19dc5f62c69608 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.