Triple

T4022264
Position Surface form Disambiguated ID Type / Status
Subject Surčin E91305 entity
Predicate partOf P40 FINISHED
Object City of Belgrade E24551 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: City of Belgrade | Statement: [Surčin, partOf, City of Belgrade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Belgrade
Context triple: [Surčin, partOf, City of Belgrade]
  • A. City of Niš
    The City of Niš is a major urban center in southeastern Serbia, historically significant as one of the oldest cities in the Balkans and a key crossroads between Central Europe and the Near East.
  • B. Belgrade chosen
    Belgrade is the capital and largest city of Serbia, historically significant as a strategic crossroads between Central Europe and the Balkans on the confluence of the Sava and Danube rivers.
  • C. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • D. Novi Sad
    Novi Sad is Serbia’s second-largest city and the cultural and economic center of the northern Vojvodina region, known for its historic architecture and the EXIT music festival.
  • E. Novi Beograd
    Novi Beograd is a large modern municipality of Belgrade known for its planned urban layout, wide boulevards, and extensive residential and business districts on the left bank of the Sava River.
  • 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_69b5f59af660819083785bda45935ae4 completed March 14, 2026, 11:56 p.m.
Created at: March 9, 2026, 3:35 p.m.