Triple

T8386139
Position Surface form Disambiguated ID Type / Status
Subject Pannonia Secunda E197822 entity
Predicate historicalRegionOverlap P13711 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: [Pannonia Secunda, historicalRegionOverlap, Slavonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slavonia
Context triple: [Pannonia Secunda, historicalRegionOverlap, 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. Šumadija region
    The Šumadija region is a historic and central area of Serbia characterized by rolling hills, fertile land, and a strong role in the country’s cultural and political development.
  • C. Syrmia
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • D. 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.
  • E. 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.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80e1bcdc81909111aa33ee996e0a completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d1ffa988190a7b0a6b1017e144d completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:02 p.m.