Triple

T10775974
Position Surface form Disambiguated ID Type / Status
Subject Yugoslav Army in the Homeland E254197 entity
Predicate areaOfOperations P710 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: [Yugoslav Army in the Homeland, areaOfOperations, Sandžak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandžak
Context triple: [Yugoslav Army in the Homeland, areaOfOperations, 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. Karašica
    Karašica is a river in Croatia that flows through the Slavonia region before joining the Drava River.
  • E. Terazije
    Terazije is a central and historic square in Belgrade, Serbia, known as a major commercial, cultural, and transport hub of the city.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329cc6c881908f827edff941d456 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.