Triple

T13271233
Position Surface form Disambiguated ID Type / Status
Subject Stari Ras and Sopoćani E316061 entity
Predicate near P350 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: [Stari Ras and Sopoćani, near, Novi Pazar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novi Pazar
Context triple: [Stari Ras and Sopoćani, near, 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99020f710819094c2618662bdc7fd completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c1ee7048190b2571364b25bd49d completed May 8, 2026, 2:36 a.m.
Created at: April 9, 2026, 9:26 p.m.