Triple

T3921468
Position Surface form Disambiguated ID Type / Status
Subject Fermi (unit) E88967 entity
Predicate scaleDescription P28652 FINISHED
Object subnuclear length scale 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: subnuclear length scale | Statement: [Fermi (unit), scaleDescription, subnuclear length scale]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scaleDescription
Context triple: [Fermi (unit), scaleDescription, subnuclear length scale]
  • A. areaScale
    Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
  • B. sizeDescription chosen
    Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
  • C. magnitudeScale
    Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
  • D. scaleComparison
    Indicates a relationship where two or more entities are compared in terms of their size, magnitude, or scale relative to one another.
  • E. associatedScale
    Indicates that one entity is linked or connected to a particular scale used to measure, classify, or evaluate it.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee75eedcc81908088ff4dbb8be56b completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:22 p.m.