Triple
T7188651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coulomb |
E167631
|
entity |
| Predicate | dimensionOfAmountOfSubstance |
P75642
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [coulomb, dimensionOfAmountOfSubstance, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dimensionOfAmountOfSubstance Context triple: [coulomb, dimensionOfAmountOfSubstance, 0]
-
A.
natureOfUnit
Indicates the type or category that characterizes what kind of unit something is (e.g., its nature or classification as a unit).
-
B.
atomicMass
Indicates the quantitative relationship specifying the mass of an atom (or isotope) of an element, typically expressed in atomic mass units.
-
C.
numberOfUnits
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
D.
quantitySymbol
Indicates that a particular symbol is used to represent a given quantity in a mathematical, scientific, or formal context.
-
E.
quantityType
Indicates that one entity is the type or category of quantity to which another entity (a specific measured or measurable amount) belongs.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e3d9188190ba2792098d76fb86 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e8b5f6508190af28e06a7959d717 |
completed | March 27, 2026, 8:29 p.m. |
Created at: March 27, 2026, 2:50 p.m.