Triple

T16749766
Position Surface form Disambiguated ID Type / Status
Subject National Library of Serbia E407042 entity
Predicate locatedOn P40 FINISHED
Object Svetosavski plato E969794 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: Svetosavski plato | Statement: [National Library of Serbia, locatedOn, Svetosavski plato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svetosavski plato
Context triple: [National Library of Serbia, locatedOn, Svetosavski plato]
  • 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. Velika Plana
    Velika Plana is a town and municipality in central Serbia, known as a local industrial and transport hub in the Podunavlje District.
  • C. 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.
  • D. Kosovo Plain
    The Kosovo Plain is a large, fertile basin in central Kosovo that serves as one of the country’s main agricultural and population centers.
  • E. Pešter plateau
    Pešter plateau is a high karst plateau in southwestern Serbia known for its harsh climate, extensive pastures, and traditional livestock farming.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa265a908190a87fa4612bfe6396 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a522255c8190ab16d7ad233fcd3b completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.