Triple
T73314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE 802.3af |
E1467
|
entity |
| Predicate | modeADescription |
P4637
|
FINISHED |
| Object | power over data pairs (1-2 and 3-6) |
—
|
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: power over data pairs (1-2 and 3-6) | Statement: [IEEE 802.3af, modeADescription, power over data pairs (1-2 and 3-6)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeADescription Context triple: [IEEE 802.3af, modeADescription, power over data pairs (1-2 and 3-6)]
-
A.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
B.
servesMode
Indicates that one entity provides or operates in a particular manner, method, or mode in relation to another entity or context.
-
C.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
D.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
E.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
- 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_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. |
| PDg | Predicate description generation | batch_69a2521ed5088190bbdfd22164bb4d94 |
completed | Feb. 28, 2026, 2:25 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.