Triple
T21475349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal (unit) |
E529846
|
entity |
| Predicate | relatedNonSIUnit |
P73885
|
FINISHED |
| Object | bar |
—
|
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: bar | Statement: [Pascal (unit), relatedNonSIUnit, bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedNonSIUnit Context triple: [Pascal (unit), relatedNonSIUnit, bar]
-
A.
hasNonSIUnitRelation
chosen
Indicates a relationship where one entity is associated with another through a measurement or quantity expressed in a non–SI (non–International System of Units) unit.
-
B.
standardUnitRelation
Indicates a relationship where one unit is defined, measured, or interpreted in terms of a recognized standard unit.
-
C.
isNonCoherentWithSI
Indicates that something does not conform to, or is inconsistent with, the specified standard or specification interface (SI).
-
D.
SIUnit
Indicates that something is expressed or measured using a unit from the International System of Units (SI).
-
E.
natureOfUnit
Indicates the type or category that characterizes what kind of unit something is (e.g., its nature or classification as a unit).
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1737f881908ef7889e9568a4d3 |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:19 p.m.