Triple
T4485832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faraday constant |
E107235
|
entity |
| Predicate | physicalQuantityType |
P9758
|
FINISHED |
| Object | molar charge |
—
|
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: molar charge | Statement: [Faraday constant, physicalQuantityType, molar charge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalQuantityType Context triple: [Faraday constant, physicalQuantityType, molar charge]
-
A.
quantityType
chosen
Indicates that one entity is the type or category of quantity to which another entity (a specific measured or measurable amount) belongs.
-
B.
natureOfUnit
Indicates the type or category that characterizes what kind of unit something is (e.g., its nature or classification as a unit).
-
C.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
D.
dimensionOfEnergy
Indicates a relationship where a specified dimension or unit is associated with a particular measure or quantity of energy.
-
E.
physicalBasis
Indicates that one entity serves as the underlying physical foundation, mechanism, or substrate that gives rise to or supports the properties, behavior, or existence of another entity.
- 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.