Triple

T1564811
Position Surface form Disambiguated ID Type / Status
Subject Planck time E33407 entity
Predicate hasApproximateValueOrderOfMagnitude P9773 FINISHED
Object 10^-43 s 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: 10^-43 s | Statement: [Planck time, hasApproximateValueOrderOfMagnitude, 10^-43 s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateValueOrderOfMagnitude
Context triple: [Planck time, hasApproximateValueOrderOfMagnitude, 10^-43 s]
  • A. hasApproximateValue chosen
    Indicates that one entity’s value is close to, but not exactly equal to, the value of another entity within an acceptable margin of error.
  • B. hasApproximateDistanceScale
    Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
  • C. hasApproximateMemberCount
    Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
  • D. hasDimensionsApprox
    Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
  • E. approximateMass
    Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90fccd4b48190a44012888a00af7f completed March 5, 2026, 5:08 a.m.
PD Predicate disambiguation batch_69a907b872f0819096b3df6ad502c63e completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.