Triple

T12415859
Position Surface form Disambiguated ID Type / Status
Subject Sebastocrator Kaloyan E296633 entity
Predicate spouse P13 FINISHED
Object Dessislava E296632 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: Dessislava | Statement: [Sebastocrator Kaloyan, spouse, Dessislava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dessislava
Context triple: [Sebastocrator Kaloyan, spouse, Dessislava]
  • A. Dessislava chosen
    Dessislava was a medieval Bulgarian noblewoman and patron associated with the commissioning and decoration of the Boyana Church near Sofia.
  • B. Blagoevgradska Bistritsa
    Blagoevgradska Bistritsa is a river in southwestern Bulgaria that flows through the city of Blagoevgrad before joining the Struma River.
  • C. Kresna
    Kresna is a small town in southwestern Bulgaria known for its proximity to the scenic Kresna Gorge and the Struma River.
  • D. Zlatitsa
    Zlatitsa is a small historic town in western Bulgaria, situated in a valley of the Balkan Mountains and known for its mining and metallurgical industries.
  • E. Devnya
    Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6c4f6c8190bc99d3f7b64205c3 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b97df9081909b281ed6c568fa37 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.