Triple

T15609542
Position Surface form Disambiguated ID Type / Status
Subject Southern and Eastern Serbia region E375251 entity
Predicate containsCity P294 FINISHED
Object Vranje E1031433 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: Vranje | Statement: [Southern and Eastern Serbia region, containsCity, Vranje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vranje
Context triple: [Southern and Eastern Serbia region, containsCity, Vranje]
  • A. Vranje chosen
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • B. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • C. Crnogorci
    Crnogorci are a South Slavic ethnic group primarily associated with the country of Montenegro, known for their distinct cultural and historical identity in the Balkans.
  • D. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • E. Vreoci
    Vreoci is a suburban settlement in the Lazarevac municipality of Belgrade, Serbia, known for its proximity to major lignite coal mining operations.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff875bb0808190a6a4e3b47b524689 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:13 a.m.