Triple
T6833430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gauss |
E157391
|
entity |
| Predicate | unitSystemType |
P29841
|
FINISHED |
| Object | electromagnetic CGS unit |
—
|
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: electromagnetic CGS unit | Statement: [gauss, unitSystemType, electromagnetic CGS unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unitSystemType Context triple: [gauss, unitSystemType, electromagnetic CGS unit]
-
A.
unitSystem
chosen
Indicates the system of measurement units (such as metric or imperial) that is used to quantify associated values or attributes.
-
B.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
C.
basedUnitType
Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
-
D.
unitOfMeasure
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
-
E.
SIUnit
Indicates that something is expressed or measured using a unit from 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.