Triple

T8789691
Position Surface form Disambiguated ID Type / Status
Subject Lake Beloslav E209129 entity
Predicate locatedInRegion P40 FINISHED
Object Varna–Devnya industrial area E41324 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: Varna–Devnya industrial area | Statement: [Lake Beloslav, locatedInRegion, Varna–Devnya industrial area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varna–Devnya industrial area
Context triple: [Lake Beloslav, locatedInRegion, Varna–Devnya industrial area]
  • A. Reutov
    Reutov is a town in western Russia that functions as a suburban satellite of Moscow, known for its residential areas and proximity to the capital.
  • B. Varna chosen
    Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
  • C. Kazanlak
    Kazanlak is a town in central Bulgaria known for its rich Thracian heritage and rose oil production in the Valley of the Roses.
  • 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. Sofia Region
    Sofia Region is an administrative region in northern Madagascar known for its mountainous landscapes, including the country’s highest peak, Maromokotro.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8b0c108190af53d4bb9b132c5c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5210454c8190aa83d941893a4bc5 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.