Triple

T8771412
Position Surface form Disambiguated ID Type / Status
Subject Varna Province E208470 entity
Predicate officialName P66 FINISHED
Object Област Варна E208470 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: Област Варна | Statement: [Varna Province, officialName, Област Варна]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Област Варна
Context triple: [Varna Province, officialName, Област Варна]
  • A. Burgas Province
    Burgas Province is an administrative region in southeastern Bulgaria on the Black Sea coast, known for its major port city of Burgas and popular seaside resorts.
  • B. Vratsa Province
    Vratsa Province is a northwestern administrative region of Bulgaria known for its mountainous landscapes, including parts of the Balkan Mountains, and the town of Vratsa as its capital.
  • C. Varna Province chosen
    Varna Province is an administrative region in northeastern Bulgaria centered around the Black Sea port city of Varna.
  • D. Dobrich Province
    Dobrich Province is an administrative region in northeastern Bulgaria known for its agricultural landscape and proximity to the Black Sea coast.
  • E. Blagoevgrad Province
    Blagoevgrad Province is a mountainous administrative region in southwestern Bulgaria known for its proximity to Greece and North Macedonia, rich cultural heritage, and popular ski and spa resorts.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2c54c08190a904723d1f0527a4 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69d02f6e221081909a8a83f2e465b1c2 completed April 3, 2026, 9:21 p.m.
Created at: March 30, 2026, 6:41 p.m.