Triple

T6014849
Position Surface form Disambiguated ID Type / Status
Subject Osijek E133925 entity
Predicate locatedIn P40 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: [Osijek, locatedIn, Slavonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slavonia
Context triple: [Osijek, locatedIn, 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f80ec108190ae9711727debb061 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108ade3948190994fbaa2a5539216 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.