Triple

T9601625
Position Surface form Disambiguated ID Type / Status
Subject Sergei Bubka E231862 entity
Predicate retirementEra P5626 FINISHED
Object late 1990s LITERAL 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: late 1990s | Statement: [Sergei Bubka, retirementEra, late 1990s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retirementEra
Context triple: [Sergei Bubka, retirementEra, late 1990s]
  • A. retirementPeriod chosen
    Indicates the time span during which an entity is considered to be retired or in retirement status.
  • B. retirementYear
    Indicates the specific year in which an entity retires or is officially considered retired.
  • C. endedEra
    Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
  • D. retiredTo
    Indicates that an entity has permanently left active service or work and taken up residence or status in a particular place or role as their retirement destination.
  • E. retirementDate
    Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a3a49608190ad1f65195e4d5cda completed April 1, 2026, 10:20 p.m.
PD Predicate disambiguation batch_69ccd5a359788190b24f82399489f7fe completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:07 p.m.