Triple

T10946102
Position Surface form Disambiguated ID Type / Status
Subject Cesena E258600 entity
Predicate twinTown P1072 FINISHED
Object Kragujevac E348374 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: Kragujevac | Statement: [Cesena, twinTown, Kragujevac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kragujevac
Context triple: [Cesena, twinTown, Kragujevac]
  • A. Kragujevac chosen
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • B. 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.
  • C. 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.
  • 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. Kruševac
    Kruševac is a historic city in central Serbia founded in the 14th century by Prince Lazar, serving briefly as the capital of his medieval Serbian principality.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.