Triple

T31618621
Position Surface form Disambiguated ID Type / Status
Subject СССР E806831 entity
Predicate территориальныйМаксимум P5049 FINISHED
Object одно из крупнейших по площади государств в истории 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: одно из крупнейших по площади государств в истории | Statement: [СССР, территориальныйМаксимум, одно из крупнейших по площади государств в истории]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: территориальныйМаксимум
Context triple: [СССР, территориальныйМаксимум, одно из крупнейших по площади государств в истории]
  • A. areaPeak
    Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
  • B. peakTerritorialExtent chosen
    Indicates the maximum geographic area or territorial size that an entity controlled or occupied at the height of its expansion.
  • C. areaPeakApprox
    Indicates an approximate measurement or estimation of the peak area associated with an entity or event.
  • D. peakTerritorialExtentUnder
    Indicates that one entity reached its greatest territorial size or coverage while under the control, rule, or influence of another entity.
  • E. regionTallestUntil
    Indicates that an entity is the tallest within a specified region up to, but not necessarily after, a given point in time.
  • 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_69f348d7883c8190b6c13ab92b7ef076 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8acae308190b3450346a6bb55bc completed May 3, 2026, 1:45 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:40 p.m.