Triple

T12561592
Position Surface form Disambiguated ID Type / Status
Subject National Assembly of the Republic of Bulgaria E295363 entity
Predicate location P40 FINISHED
Object Sofia E31299 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 | Statement: [National Assembly of the Republic of Bulgaria, location, Sofia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia
Context triple: [National Assembly of the Republic of Bulgaria, location, Sofia]
  • A. Sofia chosen
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • B. Sofia
    Sofia is a strong-willed, outspoken woman in Alice Walker’s "The Color Purple," known for her resilience and defiance against oppression.
  • C. Sofia
    Sofia is a feminine given name of Greek origin, widely used in many cultures and commonly associated with the meaning "wisdom."
  • D. Sofia
    Sofia is a character from the film "Climax," credited under the name Sofia.
  • E. Sofia
    Sofia is a notable island within Greece’s Echinades archipelago in the Ionian Sea.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954933e7c819083471c627ce55ff1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718ef43481909023a82425283f5b completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 11:48 p.m.