Triple
T9456347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | oersted |
E228023
|
entity |
| Predicate | conversionToSIApprox |
P88269
|
FINISHED |
| Object | 1 oersted ≈ 79.577 A/m |
—
|
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: 1 oersted ≈ 79.577 A/m | Statement: [oersted, conversionToSIApprox, 1 oersted ≈ 79.577 A/m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToSIApprox Context triple: [oersted, conversionToSIApprox, 1 oersted ≈ 79.577 A/m]
-
A.
valueSI
Indicates that an entity has a quantitative value expressed in SI (International System of Units) units.
-
B.
inImperialSystemApprox
Indicates that a quantity is approximately expressed or measured in the imperial system of units rather than exactly or in another unit system.
-
C.
naturalUnitsValue
Indicates that a quantity is expressed in natural units, specifying its value when fundamental physical constants are normalized (e.g., c = ħ = k_B = 1).
-
D.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
-
E.
conversionFromElementaryCharge
Indicates the numerical factor or relationship used to convert a quantity expressed in elementary charges into another unit of electric charge.
- F. None of above. chosen
Provenance (4 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f8f7e1481909318e473ab4d6460 |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:52 p.m.