Triple

T6877205
Position Surface form Disambiguated ID Type / Status
Subject ampere E158700 entity
Predicate hasNonSIUnitRelation P73885 FINISHED
Object coulomb per second 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: coulomb per second | Statement: [ampere, hasNonSIUnitRelation, coulomb per second]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNonSIUnitRelation
Context triple: [ampere, hasNonSIUnitRelation, coulomb per second]
  • A. standardUnitRelation
    Indicates a relationship where one unit is defined, measured, or interpreted in terms of a recognized standard unit.
  • B. SIBaseUnitRelation
    Indicates a relationship where one physical quantity or unit is defined, measured, or expressed in terms of one or more SI base units.
  • C. hasSIUnitForConstant
    Indicates that a given constant is associated with a specific SI (International System of Units) unit used to express its value.
  • D. hasUnitOf
    Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
  • E. isCoherentSIUnit
    Indicates that a unit is a valid, internally consistent unit within the International System of Units (SI), derived strictly from SI base units without additional numerical factors.
  • F. None of above. chosen

Provenance (4 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8ccc29c8190904cb73c4cbb5dca completed March 27, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69c6d7b363dc8190a7225b540ab2bc40 completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6d8c48ba48190b8d3aa7b8d22816b completed March 27, 2026, 7:21 p.m.
Created at: March 27, 2026, 2:22 p.m.