Triple

T8771375
Position Surface form Disambiguated ID Type / Status
Subject Varna Province E208470 entity
Predicate borders P224 FINISHED
Object Dobrich Province E754295 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: Dobrich Province | Statement: [Varna Province, borders, Dobrich Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobrich Province
Context triple: [Varna Province, borders, Dobrich Province]
  • A. Dobrich Province chosen
    Dobrich Province is an administrative region in northeastern Bulgaria known for its agricultural landscape and proximity to the Black Sea coast.
  • B. Varna Province
    Varna Province is an administrative region in northeastern Bulgaria centered around the Black Sea port city of Varna.
  • C. Pleven Province
    Pleven Province is an administrative region in northern Bulgaria, known for its capital city Pleven and its location along the Danube River.
  • D. 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.
  • E. 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.
  • 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_69cc5f2b08f881909f3d4fab2eda1d67 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfeafd26f4819092f5adc1ac70148f completed April 3, 2026, 4:29 p.m.
Created at: March 30, 2026, 6:41 p.m.