Triple

T4083301
Position Surface form Disambiguated ID Type / Status
Subject Autonomous Province of Vojvodina E87528 entity
Predicate capital P234 FINISHED
Object Novi Sad E70533 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: Novi Sad | Statement: [Autonomous Province of Vojvodina, capital, Novi Sad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novi Sad
Context triple: [Autonomous Province of Vojvodina, capital, Novi Sad]
  • A. Novi Sad chosen
    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.
  • B. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • C. Belgrade
    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.
  • D. Subotica
    Subotica is a historic city in northern Serbia known for its Art Nouveau architecture and cultural diversity, located near the Hungarian border.
  • E. Jagodina
    Jagodina is a city in central Serbia known as a regional industrial and cultural center, featuring attractions such as a popular zoo, aqua park, and museums.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7933b481909bb3e02c6c04c8ee completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b65f1304b481909715c263a743581d completed March 15, 2026, 7:26 a.m.
Created at: March 9, 2026, 3:39 p.m.