Triple
T27134968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | svedberg unit |
E681656
|
entity |
| Predicate | isAcceptedForUseWithSI |
P142714
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [svedberg unit, isAcceptedForUseWithSI, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAcceptedForUseWithSI Context triple: [svedberg unit, isAcceptedForUseWithSI, false]
-
A.
isNonSIUnitAcceptedWithSI
chosen
Indicates that a unit is a non-SI unit that is nevertheless officially accepted for use alongside SI units.
-
B.
isCoherentWithSI
Indicates that something is consistent and compatible with the International System of Units (SI), adhering to its definitions, conventions, and relationships among units.
-
C.
isNonCoherentWithSI
Indicates that something does not conform to, or is inconsistent with, the specified standard or specification interface (SI).
-
D.
isOfficialSystemOfUnitsFor
Indicates that one system of units is formally recognized or designated as the standard measurement system for a particular domain, region, or context.
-
E.
isExactInSI
Indicates that a quantity or value is defined as an exact, non-approximate value within the International System of Units (SI).
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62479bbb88190bcad383443cbd638 |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:06 a.m.