Triple

T6789088
Position Surface form Disambiguated ID Type / Status
Subject Rumelia Eyalet E155886 entity
Predicate capital P234 FINISHED
Object Skopje E33001 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: Skopje | Statement: [Rumelia Eyalet, capital, Skopje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skopje
Context triple: [Rumelia Eyalet, capital, Skopje]
  • A. Skopje chosen
    Skopje is the capital and largest city of North Macedonia, known for its historic Ottoman and Byzantine heritage alongside extensive modern redevelopment.
  • B. Tetovo
    Tetovo is a city in northwestern North Macedonia known for its multicultural population, Ottoman-era architecture, and proximity to the Šar Mountains.
  • C. Rabotnički Skopje
    Rabotnički Skopje is a professional football club from Skopje, North Macedonia, known for competing in the country’s top division and developing notable players.
  • D. Mitrovica
    Mitrovica is a divided city in northern Kosovo known for its ethnic tensions and strategic importance as a regional industrial and mining center.
  • E. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2aa2e0c8190b994261826ae001d completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723cc35cc8190b5affdfd363171ba completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:14 p.m.