Triple
T73306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE 802.3af |
E1467
|
entity |
| Predicate | powerClassRange |
P1457
|
FINISHED |
| Object | Class 0 to Class 3 |
—
|
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: Class 0 to Class 3 | Statement: [IEEE 802.3af, powerClassRange, Class 0 to Class 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerClassRange Context triple: [IEEE 802.3af, powerClassRange, Class 0 to Class 3]
-
A.
vehicleType
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
B.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
C.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
D.
typicalEnergyRange
chosen
Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
-
E.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a252201fa481908e30791954119c17 |
completed | Feb. 28, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69a24eacfdc481909e9ff99752fd42bf |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.