Triple

T3879649
Position Surface form Disambiguated ID Type / Status
Subject Bačka E92788 entity
Predicate borders P224 FINISHED
Object Slavonia E118970 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: Slavonia | Statement: [Bačka, borders, Slavonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slavonia
Context triple: [Bačka, borders, Slavonia]
  • A. Slavonia chosen
    Slavonia is a historical and geographical region in eastern Croatia known for its fertile plains, agriculture, and traditional rural culture.
  • B. Syrmia
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • C. Raška region
    The Raška region is a historic area of central Serbia considered the cradle of the medieval Serbian state and the Serbian Orthodox Church.
  • D. Mačva region
    The Mačva region is a historical and geographical area in western Serbia, known for its fertile plains, agriculture, and cultural centers such as the city of Šabac.
  • E. Zeta Banovina
    Zeta Banovina was an administrative province of the Kingdom of Yugoslavia, established in 1929 and centered on Montenegro and parts of neighboring regions.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec7438808190b6c90fcb3000ebe9 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533788a70819089d028cee84a7e87 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:20 p.m.