Triple

T16243292
Position Surface form Disambiguated ID Type / Status
Subject Kosovo Vilayet E394305 entity
Predicate majorCity P316 FINISHED
Object Novi Pazar E318258 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 Pazar | Statement: [Kosovo Vilayet, majorCity, Novi Pazar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novi Pazar
Context triple: [Kosovo Vilayet, majorCity, Novi Pazar]
  • A. Novi Pazar chosen
    Novi Pazar is a historic city in southwestern Serbia known for its Ottoman-era architecture, multicultural heritage, and proximity to important medieval Serbian monasteries.
  • B. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • C. 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.
  • D. Šabac
    Šabac is a historic city in western Serbia on the Sava River, known as a regional cultural and educational center.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecc2b4c8190ac9654ac826f198e completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:04 a.m.