Triple

T2763477
Position Surface form Disambiguated ID Type / Status
Subject Boyana Church E61276 entity
Predicate region P40 FINISHED
Object Sofia City Province E167275 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: Sofia City Province | Statement: [Boyana Church, region, Sofia City Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia City Province
Context triple: [Boyana Church, region, Sofia City Province]
  • A. Sofia Province chosen
    Sofia Province is an administrative region in western Bulgaria that surrounds, but does not include, the national capital city of Sofia.
  • B. Varna Province
    Varna Province is an administrative region in northeastern Bulgaria centered around the Black Sea port city of Varna.
  • C. Kyustendil Province
    Kyustendil Province is a region in southwestern Bulgaria known for its fertile valleys, mineral springs, and location near the borders with North Macedonia and Serbia.
  • D. Stara Zagora Province
    Stara Zagora Province is an administrative region in central Bulgaria known for its rich Thracian heritage, historical sites, and industrial and agricultural significance.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd5291d88190a7347af947a2a564 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055c4e58c8190809cc77161754246 completed March 10, 2026, 5:32 p.m.
Created at: March 6, 2026, 9:57 p.m.