Triple
T27134967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | svedberg unit |
E681656
|
entity |
| Predicate | isNonSIUnit |
P142714
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [svedberg unit, isNonSIUnit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonSIUnit Context triple: [svedberg unit, isNonSIUnit, true]
-
A.
isNonCoherentWithSI
Indicates that something does not conform to, or is inconsistent with, the specified standard or specification interface (SI).
-
B.
hasNonSIUnitRelation
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.
-
C.
isNonSIUnitAcceptedWithSI
chosen
Indicates that a unit is a non-SI unit that is nevertheless officially accepted for use alongside SI units.
-
D.
isCoherentWithSI
Indicates that something is consistent and compatible with the International System of Units (SI), adhering to its definitions, conventions, and relationships among units.
-
E.
isOfficialSystemOfUnitsFor
Indicates that one system of units is formally recognized or designated as the standard measurement system for a particular domain, region, or context.
- 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_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:06 a.m.