Triple
T6939008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bohr radius |
E160625
|
entity |
| Predicate | valueSIUncertainty |
P9760
|
FINISHED |
| Object | 3.6e-21 metre |
—
|
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: 3.6e-21 metre | Statement: [Bohr radius, valueSIUncertainty, 3.6e-21 metre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueSIUncertainty Context triple: [Bohr radius, valueSIUncertainty, 3.6e-21 metre]
-
A.
relativeStandardUncertainty
Indicates the ratio of a measurement’s standard uncertainty to the measured value, expressing uncertainty relative to the magnitude of the quantity.
-
B.
CODATA2022StandardUncertainty
chosen
Indicates the standard uncertainty value associated with a CODATA 2022 recommended physical constant or measurement result.
-
C.
hasApproximateValueUncertainty
Indicates that the value of something is known only approximately and carries an associated degree or range of uncertainty.
-
D.
SIUnit
Indicates that something is expressed or measured using a unit from the International System of Units (SI).
-
E.
naturalUnitsValue
Indicates that a quantity is expressed in natural units, specifying its value when fundamental physical constants are normalized (e.g., c = ħ = k_B = 1).
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:28 p.m.