Triple

T21837854
Position Surface form Disambiguated ID Type / Status
Subject Isa-Beg Ishaković E539166 entity
Predicate basedIn P40 FINISHED
Object Skopje 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: Skopje | Statement: [Isa-Beg Ishaković, basedIn, Skopje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skopje
Context triple: [Isa-Beg Ishaković, basedIn, 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. Skopi
    Skopi is a small village located within the municipality of Sitia on the island of Crete in Greece.
  • C. Tetovo
    Tetovo is a city in northwestern North Macedonia known for its multicultural population, Ottoman-era architecture, and proximity to the Šar Mountains.
  • D. 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.
  • E. Skopun
    Skopun is a small coastal village on the Faroe Islands’ island of Sandoy, known for its fishing heritage and scenic North Atlantic surroundings.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a9a36881909eb917f12d061ba9 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.