Triple

T1348235
Position Surface form Disambiguated ID Type / Status
Subject Planck constant E28819 entity
Predicate hasExactValueSI P9774 FINISHED
Object 6.62607015×10^-34 J·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: 6.62607015×10^-34 J·s | Statement: [Planck constant, hasExactValueSI, 6.62607015×10^-34 J·s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExactValueSI
Context triple: [Planck constant, hasExactValueSI, 6.62607015×10^-34 J·s]
  • A. hasExactValue chosen
    Indicates that an entity possesses a specific, precisely defined value that must match exactly, without any deviation or tolerance.
  • B. hasApproximateValue
    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.
  • C. hasCODATAValue
    Indicates that an entity is associated with a value specified or standardized by CODATA (Committee on Data for Science and Technology).
  • D. SIUnit
    Indicates that something is expressed or measured using a unit from the International System of Units (SI).
  • E. isMetric
    Indicates that something satisfies the properties required to be considered a metric, such as defining distances that obey non-negativity, identity, symmetry, and the triangle inequality.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2418e38819094683d6e1efc6e56 completed March 1, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69a4bef5857c81909ae984feb85a26ca completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.