Triple

T1547056
Position Surface form Disambiguated ID Type / Status
Subject Skopje E33001 entity
Predicate locatedIn P40 FINISHED
Object Skopje Statistical Region 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 Statistical Region | Statement: [Skopje, locatedIn, Skopje Statistical Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skopje Statistical Region
Context triple: [Skopje, locatedIn, Skopje Statistical Region]
  • 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. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • C. Gevgelija region
    The Gevgelija region is an area in the southern Balkans, near the present-day border of North Macedonia and Greece, known for its historical and linguistic diversity, including communities of Megleno-Romanian speakers.
  • D. Sofia Province
    Sofia Province is an administrative region in western Bulgaria that surrounds, but does not include, the national capital city of Sofia.
  • E. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb20dd5a88190b3d6e6f0004fe9b4 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a073bc8190a269cb036775dfe4 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.