Triple
T1250408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | reduced Planck constant |
E26861
|
entity |
| Predicate | CODATA2022Uncertainty |
P9760
|
FINISHED |
| Object | exact (defined via h) |
—
|
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: exact (defined via h) | Statement: [reduced Planck constant, CODATA2022Uncertainty, exact (defined via h)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CODATA2022Uncertainty Context triple: [reduced Planck constant, CODATA2022Uncertainty, exact (defined via h)]
-
A.
CODATA2022StandardUncertainty
chosen
Indicates the standard uncertainty value associated with a CODATA 2022 recommended physical constant or measurement result.
-
B.
hasCODATAValue
Indicates that an entity is associated with a value specified or standardized by CODATA (Committee on Data for Science and Technology).
-
C.
relativeStandardUncertainty
Indicates the ratio of a measurement’s standard uncertainty to the measured value, expressing uncertainty relative to the magnitude of the quantity.
-
D.
massUncertainty
Indicates that there is a quantified degree of uncertainty or imprecision associated with the mass value of an entity or system.
-
E.
hasUncertainty
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf84c73c8190bbb14265cd7ab6ae |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.