Triple

T32655031
Position Surface form Disambiguated ID Type / Status
Subject Nemyriv Raion E834837 entity
Predicate hasFormerSubdivisionStatus P30672 FINISHED
Object abolished raion of Vinnytsia Oblast 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: abolished raion of Vinnytsia Oblast | Statement: [Nemyriv Raion, hasFormerSubdivisionStatus, abolished raion of Vinnytsia Oblast]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerSubdivisionStatus
Context triple: [Nemyriv Raion, hasFormerSubdivisionStatus, abolished raion of Vinnytsia Oblast]
  • A. hasFormerDivision
    Indicates that an entity previously had another entity as one of its internal divisions or sub-units, but no longer does.
  • B. hasHistoricalCountrySubdivision
    Indicates that one entity was a territorial or administrative subdivision of a historical country.
  • C. hasSubregionStatus
    Indicates that one region holds an official or defined status as a subregion within a larger geographic or administrative area.
  • D. formerSubdivisionOf chosen
    Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
  • E. hasFormerCounty
    Indicates that an entity was previously part of, or administered by, a particular county in the past but no longer is.
  • 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_69f3492f72248190ba42fa596aea50e1 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd6dbd1b648190b1a0b391c03aebc5 completed May 8, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69fd6a9020548190bbfa845360ac85fb completed May 8, 2026, 4:46 a.m.
Created at: May 1, 2026, 1:08 a.m.