Triple

T4022094
Position Surface form Disambiguated ID Type / Status
Subject Vračar E91300 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Voždovac E141684 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: Voždovac | Statement: [Vračar, hasNeighboringMunicipality, Voždovac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voždovac
Context triple: [Vračar, hasNeighboringMunicipality, Voždovac]
  • A. Voždovac chosen
    Voždovac is a municipality of Belgrade, Serbia, known for its mix of urban neighborhoods, residential areas, and important transport routes.
  • B. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • C. Kraljevica
    Kraljevica is a coastal town in western Croatia known for its historic castles and shipyard on the Adriatic Sea.
  • D. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • E. Beočin
    Beočin is a town and municipality in northern Serbia, situated on the slopes of Fruška Gora along the Danube River and known for its cement industry and nearby monasteries.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaccb2f48190a16a1ba6e938da85 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5562bd7908190b9dfd246df8b8cc5 completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:35 p.m.