Triple
T4485845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faraday constant |
E107235
|
entity |
| Predicate | isUsedToCalculate |
P49064
|
FINISHED |
| Object | amount of substance deposited in electrolysis |
—
|
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: amount of substance deposited in electrolysis | Statement: [Faraday constant, isUsedToCalculate, amount of substance deposited in electrolysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedToCalculate Context triple: [Faraday constant, isUsedToCalculate, amount of substance deposited in electrolysis]
-
A.
isUsedToCompute
chosen
Indicates that one entity serves as an input, basis, or resource for performing a calculation or deriving a result about another entity.
-
B.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
C.
isUsedToTest
Indicates that one entity serves as a means or tool for evaluating, examining, or verifying another entity.
-
D.
formulaUsed
Indicates that a particular formula is employed or applied in performing a calculation, derivation, or reasoning step.
-
E.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
- 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.