Triple

T9510937
Position Surface form Disambiguated ID Type / Status
Subject Sopot E229390 entity
Predicate partOf P40 FINISHED
Object 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: Belgrade | Statement: [Sopot, partOf, Belgrade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belgrade
Context triple: [Sopot, partOf, Belgrade]
  • A. 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.
  • B. 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.
  • C. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • D. Bajina Bašta
    Bajina Bašta is a small town in western Serbia known for its scenic location on the Drina River and proximity to the Tara National Park.
  • E. Vojvodina Novi Sad
    Vojvodina Novi Sad is a Serbian professional football club based in Novi Sad, known for competing in the country’s top league and developing notable players.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a37c7ec8190a24ae0eec76b4f67 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.