Triple
T6833415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gauss |
E157391
|
entity |
| Predicate | SIUnitEquivalent |
P11666
|
FINISHED |
| Object | tesla |
—
|
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: tesla | Statement: [gauss, SIUnitEquivalent, tesla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SIUnitEquivalent Context triple: [gauss, SIUnitEquivalent, tesla]
-
A.
SIUnit
Indicates that something is expressed or measured using a unit from the International System of Units (SI).
-
B.
SIUnitSymbol
Indicates the standardized symbol used to represent a quantity in the International System of Units (SI).
-
C.
standardUnitRelation
chosen
Indicates a relationship where one unit is defined, measured, or interpreted in terms of a recognized standard unit.
-
D.
SIBaseUnitRelation
Indicates a relationship where one physical quantity or unit is defined, measured, or expressed in terms of one or more SI base units.
-
E.
unitSystem
Indicates the system of measurement units (such as metric or imperial) that is used to quantify associated values or attributes.
- 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.