Triple
T4486060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | farad |
E107240
|
entity |
| Predicate | baseUnitsCurrentExponent |
P56838
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [farad, baseUnitsCurrentExponent, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseUnitsCurrentExponent Context triple: [farad, baseUnitsCurrentExponent, 2]
-
A.
basedUnit
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
B.
minorUnitExponent
Indicates the power-of-ten exponent that defines how a minor unit relates in scale to its corresponding major unit.
-
C.
basedUnitType
Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
-
D.
standardUnitRelation
Indicates a relationship where one unit is defined, measured, or interpreted in terms of a recognized standard unit.
-
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. 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_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. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 12:59 p.m.