Triple

T15760801
Position Surface form Disambiguated ID Type / Status
Subject Grand Prince of Serbia E382090 entity
Predicate historicalRegion P915 FINISHED
Object Raška E386940 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: Raška | Statement: [Grand Prince of Serbia, historicalRegion, Raška]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raška
Context triple: [Grand Prince of Serbia, historicalRegion, Raška]
  • A. Raška chosen
    Raška is a historical region in southwestern Serbia regarded as the medieval heartland of the early Serbian state and Orthodox monastic culture.
  • B. Kraljevo
    Kraljevo is a city in central Serbia known as a regional administrative and cultural center, situated near several important medieval Serbian monasteries.
  • C. Niš
    Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
  • D. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • E. Užice
    Užice is a city in western Serbia known as a regional industrial and cultural center situated along the Đetinja River and surrounded by mountainous terrain.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00606823cc81908c461ef8764ebf41 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 4:47 a.m.