Triple
T4486058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | farad |
E107240
|
entity |
| Predicate | coherentWithSI |
P11666
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [farad, coherentWithSI, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coherentWithSI Context triple: [farad, coherentWithSI, true]
-
A.
SIUnit
Indicates that something is expressed or measured using a unit from the International System of Units (SI).
-
B.
SIUnitSymbol
Indicates the standardized symbol used to represent a quantity in the International System of Units (SI).
-
C.
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.
-
D.
hasSIUnitForConstant
Indicates that a given constant is associated with a specific SI (International System of Units) unit used to express its value.
-
E.
standardUnitRelation
chosen
Indicates a relationship where one unit is defined, measured, or interpreted in terms of a recognized standard unit.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:59 p.m.