Triple

T18331163
Position Surface form Disambiguated ID Type / Status
Subject Orhan Kemal E439143 entity
Predicate placeOfDeath P21 FINISHED
Object Sofia, Bulgaria NE NERFINISHED

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, Bulgaria | Statement: [Orhan Kemal, placeOfDeath, Sofia, Bulgaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia, Bulgaria
Context triple: [Orhan Kemal, placeOfDeath, Sofia, Bulgaria]
  • A. Sofia
    Sofia is a character in the television series "Mayans M.C." who becomes romantically involved with Ezekiel "EZ" Reyes.
  • B. Sofia chosen
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • 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 notable island within Greece’s Echinades archipelago in the Ionian Sea.
  • E. Sofia
    Sofia is a strong-willed, outspoken woman in Alice Walker’s "The Color Purple," known for her resilience and defiance against oppression.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50eca08388190b4e757a5f63b5d41 completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.