Triple

T6494990
Position Surface form Disambiguated ID Type / Status
Subject Zemun E148133 entity
Predicate historicalRegion P915 FINISHED
Object Syrmia E200346 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: Syrmia | Statement: [Zemun, historicalRegion, Syrmia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syrmia
Context triple: [Zemun, historicalRegion, Syrmia]
  • A. Syrmia chosen
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • B. Slavonia
    Slavonia is a historical and geographical region in eastern Croatia known for its fertile plains, agriculture, and traditional rural culture.
  • C. Serbian Podrinje
    Serbian Podrinje is a historical region of western Serbia along the Drina River, encompassing areas such as Mačva and known for its cultural and geographic ties to the broader Podrinje (Drina Valley) area.
  • D. Hrvatsko Zagorje
    Hrvatsko Zagorje is a hilly cultural and historical region in northern Croatia, known for its picturesque villages, thermal spas, and traditional rural architecture.
  • E. Transdanubia
    Transdanubia is the western region of Hungary lying beyond the Danube River, known for its varied landscapes, historic towns, and role as a major World War II battleground.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab958808190bd85e007e925ffc4 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66386d48881908151bdf12a3d85ad completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:53 p.m.