Triple
T1348257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck constant |
E28819
|
entity |
| Predicate | dimensionSymbol |
P26854
|
FINISHED |
| Object | M L^2 T^-1 |
—
|
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: M L^2 T^-1 | Statement: [Planck constant, dimensionSymbol, M L^2 T^-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dimensionSymbol Context triple: [Planck constant, dimensionSymbol, M L^2 T^-1]
-
A.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
-
B.
SIUnitSymbol
Indicates the standardized symbol used to represent a quantity in the International System of Units (SI).
-
C.
dimension
Indicates that one entity specifies a measurable extent or size attribute (such as length, width, height, or similar quantitative property) of another entity.
-
D.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
E.
SIName
Indicates that an entity has a specific system or standardized identifier name associated with it.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2418e38819094683d6e1efc6e56 |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef5857c81909ae984feb85a26ca |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf60545c8190901ccfb2cb7c4b41 |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:56 p.m.