Triple

T16243287
Position Surface form Disambiguated ID Type / Status
Subject Kosovo Vilayet E394305 entity
Predicate majorCity P316 FINISHED
Object Pristina E33983 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: Pristina | Statement: [Kosovo Vilayet, majorCity, Pristina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pristina
Context triple: [Kosovo Vilayet, majorCity, Pristina]
  • A. Pristina chosen
    Pristina is the capital and largest city of Kosovo, serving as its political, economic, and cultural center in the central Balkans.
  • B. Mitrovica
    Mitrovica is a divided city in northern Kosovo known for its ethnic tensions and strategic importance as a regional industrial and mining center.
  • C. Prizren
    Prizren is a historic and culturally rich city in southern Kosovo, known for its well-preserved Ottoman-era architecture and diverse religious heritage.
  • D. Tirana
    Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
  • E. Skopje
    Skopje is the capital and largest city of North Macedonia, known for its historic Ottoman and Byzantine heritage alongside extensive modern redevelopment.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d9de7548190974851dc54465f0b completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:04 a.m.