Triple

T3684174
Position Surface form Disambiguated ID Type / Status
Subject Saint Sava Day E78184 entity
Predicate country P26 FINISHED
Object Serbia E26132 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: Serbia | Statement: [Saint Sava Day, country, Serbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serbia
Context triple: [Saint Sava Day, country, Serbia]
  • A. Serbia chosen
    Serbia is a landlocked country in Southeast Europe, located in the central and western Balkans, known for its historical ties to Yugoslavia and its capital city, Belgrade.
  • B. Serbja
    Serbja are a West Slavic ethnic minority primarily living in eastern Germany, known for their distinct Sorbian language and culture.
  • C. Serbia and Bulgaria
    Serbia and Bulgaria are neighboring Balkan countries in Southeast Europe whose modern boundary was shaped by early 20th-century conflicts and diplomatic agreements.
  • D. Bosnia and Herzegovina
    Bosnia and Herzegovina is a Balkan country in Southeastern Europe known for its complex post-Yugoslav history, diverse cultural and religious heritage, and capital city, Sarajevo.
  • E. Serbia and Greece
    Serbia and Greece are neighboring Balkan nations whose modern boundary was largely shaped by the post–Second Balkan War settlement.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc49644d08190866d6c5df9d2b48d completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdd2715c81908250bb2925de8e1f completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.