Triple
T7188697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sievert |
E167632
|
entity |
| Predicate | physicalDimensionSymbol |
P26854
|
FINISHED |
| Object | L^2 T^-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: L^2 T^-2 | Statement: [sievert, physicalDimensionSymbol, L^2 T^-2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalDimensionSymbol Context triple: [sievert, physicalDimensionSymbol, L^2 T^-2]
-
A.
dimensionSymbol
chosen
Indicates a symbolic notation that represents or labels a specific dimension or measurement attribute in a context.
-
B.
SIUnitSymbol
Indicates the standardized symbol used to represent a quantity in the International System of Units (SI).
-
C.
dimensionSystem
Indicates a standardized framework or scheme used to define, measure, and relate dimensions within a given context.
-
D.
dimensionFormula
Indicates a mathematical or logical expression that defines how a particular dimension (such as size, measure, or extent) is derived or calculated from other quantities.
-
E.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
- 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_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. |
Created at: March 27, 2026, 2:50 p.m.