Triple

T16243294
Position Surface form Disambiguated ID Type / Status
Subject Kosovo Vilayet E394305 entity
Predicate majorCity P316 FINISHED
Object Tetovo E403171 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: Tetovo | Statement: [Kosovo Vilayet, majorCity, Tetovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetovo
Context triple: [Kosovo Vilayet, majorCity, Tetovo]
  • A. Tetovo chosen
    Tetovo is a city in northwestern North Macedonia known for its multicultural population, Ottoman-era architecture, and proximity to the Šar Mountains.
  • B. Skopje
    Skopje is the capital and largest city of North Macedonia, known for its historic Ottoman and Byzantine heritage alongside extensive modern redevelopment.
  • C. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • D. Monastir
    Monastir is a small town and municipality in southern Sardinia, Italy, known for its agricultural activities and proximity to the regional capital Cagliari.
  • E. Monastir
    Monastir is a coastal city in central-eastern Tunisia, known as a historic port and the birthplace and burial place of the country’s first president, Habib Bourguiba.
  • 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_6a00a5047a7c8190bac0ac9888547d16 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:04 a.m.