Triple

T22866546
Position Surface form Disambiguated ID Type / Status
Subject Vračar (Belgrade) E567068 entity
Predicate locatedOn P40 FINISHED
Object Vračar plateau 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: Vračar plateau | Statement: [Vračar (Belgrade), locatedOn, Vračar plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vračar plateau
Context triple: [Vračar (Belgrade), locatedOn, Vračar plateau]
  • A. Vračar plateau chosen
    Vračar plateau is a prominent elevated area in Belgrade, Serbia, known for hosting major landmarks and sports facilities, including Red Star Stadium.
  • B. Sinjajevina plateau
    Sinjajevina plateau is a highland karst plateau in northern Montenegro known for its expansive pastures, traditional livestock grazing, and rich biodiversity.
  • C. Ledenice plateau
    Ledenice plateau is a karst highland area in Montenegro known for its rugged terrain and scenic views over the Bay of Kotor region.
  • D. Glasinac plateau
    The Glasinac plateau is a highland region in eastern Bosnia and Herzegovina known for its rich prehistoric archaeological sites and tumulus burials central to the Glasinac-Mati culture.
  • E. Dransfeld plateau
    The Dransfeld plateau is a hilly upland region in Lower Saxony, Germany, characterized by its forested landscapes and rural settlements.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f00f21081909b771610549c5757 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.