Triple

T16750377
Position Surface form Disambiguated ID Type / Status
Subject BG E407056 entity
Predicate hasAbbreviationFor P43 FINISHED
Object Beograd NE ONNED1

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: Beograd | Statement: [BG, hasAbbreviationFor, Beograd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beograd
Context triple: [BG, hasAbbreviationFor, Beograd]
  • 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. 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.
  • D. North Belgrade
    North Belgrade is a small village in the town of Belgrade in Kennebec County, Maine, known for its rural character and proximity to the region’s lakes.
  • E. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • 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_6a01953eaa6c819091f7d63a1e3e7070 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:21 a.m.