Triple

T29474437
Position Surface form Disambiguated ID Type / Status
Subject Olga Brodsky E747604 entity
Predicate workSetInAppearedIn P146298 FINISHED
Object Sarajevo 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: Sarajevo | Statement: [Olga Brodsky, workSetInAppearedIn, Sarajevo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workSetInAppearedIn
Context triple: [Olga Brodsky, workSetInAppearedIn, Sarajevo]
  • A. appearsInWorkSetIn chosen
    Indicates that an entity appears in a creative work whose narrative or setting takes place in a specified location or context.
  • B. workInSet
    Indicates that an entity performs work or has a role within a specified set, group, or collection.
  • C. settingOfWorkAppearsIn
    Indicates that a particular place, time, or environment serves as the setting within which a given creative work’s events or narrative occur.
  • D. workWriterOfWorkAppearedIn
    Indicates that a work is written by an author whose work appeared in a particular publication or context.
  • E. workSetDuring
    Indicates that an action or relationship occurs within a specified time period or temporal setting.
  • F. None of above.

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_69f0bd42cf308190bb01b20bc5b7c2d0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f6f8565134819096aac0175f924a9f completed May 3, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f6f65fd1d08190b88e5e68ba268500 completed May 3, 2026, 7:16 a.m.
Created at: April 28, 2026, 3:59 p.m.