Triple

T4000989
Position Surface form Disambiguated ID Type / Status
Subject Sputnik 1 E89412 entity
Predicate diameter_m P7302 FINISHED
Object about 0.58 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: about 0.58 | Statement: [Sputnik 1, diameter_m, about 0.58]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diameter_m
Context triple: [Sputnik 1, diameter_m, about 0.58]
  • A. meanDiameter_km
    Indicates the average diameter of an object or region measured in kilometers.
  • B. approximateDiameter chosen
    Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
  • C. sphereDiameter
    Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
  • D. driverDiameter
    Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
  • E. structureDiameter
    Indicates the measured diameter or width of a given structure.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa8579288190940487ad07e38de0 completed March 9, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69aef8f89f2881909b0965419d15d46c completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:34 p.m.