Triple
T23298189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fine-structure constant |
E590229
|
entity |
| Predicate | CODATA2018Uncertainty |
P74392
|
FINISHED |
| Object | 0.0000000000011 |
—
|
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: 0.0000000000011 | Statement: [fine-structure constant, CODATA2018Uncertainty, 0.0000000000011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CODATA2018Uncertainty Context triple: [fine-structure constant, CODATA2018Uncertainty, 0.0000000000011]
-
A.
CODATA2018RelativeStandardUncertainty
chosen
Indicates the relative standard uncertainty associated with a quantity as defined in the CODATA 2018 recommended values of fundamental physical constants.
-
B.
CODATA2022StandardUncertainty
Indicates the standard uncertainty value associated with a CODATA 2022 recommended physical constant or measurement result.
-
C.
hasCODATAValue
Indicates that an entity is associated with a value specified or standardized by CODATA (Committee on Data for Science and Technology).
-
D.
hasCODATAIdentifier
Indicates that an entity is associated with a specific identifier assigned or standardized by CODATA (the Committee on Data for Science and Technology).
-
E.
valueSIWithUncertainty
Indicates that a numerical value is expressed in SI units along with an associated measure of its uncertainty.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d083188190abaae77dd4cf2bae |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:03 p.m.