Triple

T22681341
Position Surface form Disambiguated ID Type / Status
Subject Кнез Михаилова улица E560489 entity
Predicate country P26 FINISHED
Object Србија NE NERFINISHED

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: Србија | Statement: [Кнез Михаилова улица, country, Србија]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Србија
Context triple: [Кнез Михаилова улица, country, Србија]
  • A. Serbja
    Serbja are a West Slavic ethnic minority primarily living in eastern Germany, known for their distinct Sorbian language and culture.
  • B. 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.
  • C. Servia
    Servia is a town in northern Greece located in the Kozani regional unit of Western Macedonia.
  • D. Srbsko
    Srbsko is a small village in the Central Bohemian Region of the Czech Republic, known for its scenic location along the Berounka River and proximity to the Bohemian Karst nature reserve.
  • E. Serbia and Montenegro
    Serbia and Montenegro was a former state union in the Balkans, comprising the republics of Serbia and Montenegro, that existed from 2003 until Montenegro’s 2006 declaration of independence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786027648190972d1b0bbe81ed13 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.