Triple

T2291421
Position Surface form Disambiguated ID Type / Status
Subject Chetniks E51511 entity
Predicate operatingArea P82 FINISHED
Object Sandžak E163891 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: Sandžak | Statement: [Chetniks, operatingArea, Sandžak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandžak
Context triple: [Chetniks, operatingArea, Sandžak]
  • A. Sandžak chosen
    Sandžak is a historically contested region in the western Balkans, straddling modern-day Serbia and Montenegro, known for its significant Bosniak population and multicultural heritage.
  • B. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • C. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • D. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • E. Rakovica
    Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b3d4988190bceb3dffa9734f4b completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f210bb881909086b86b2c3017a7 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.