Triple

T21636164
Position Surface form Disambiguated ID Type / Status
Subject Bealanana District E533963 entity
Predicate partOf P40 FINISHED
Object Sofia Region 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: Sofia Region | Statement: [Bealanana District, partOf, Sofia Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Region
Context triple: [Bealanana District, partOf, Sofia Region]
  • A. Sofia Region chosen
    Sofia Region is an administrative region in northern Madagascar known for its mountainous landscapes, including the country’s highest peak, Maromokotro.
  • B. Sofia Province
    Sofia Province is an administrative region in western Bulgaria that surrounds, but does not include, the national capital city of Sofia.
  • C. Sofia City Province
    Sofia City Province is the administrative region encompassing Bulgaria’s capital, Sofia, serving as the country’s political, economic, and cultural center.
  • D. Sredets region
    Sredets region is a historical area in western Bulgaria traditionally associated with the medieval city of Sredets, later known as Sofia.
  • E. Veliko Tarnovo Province
    Veliko Tarnovo Province is a central northern Bulgarian administrative region known for its historic capital Veliko Tarnovo and its location along the Yantra River.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538ddb088190a3cba6fdc84c0ae8 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.