Triple
T8502295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSMA |
E201247
|
entity |
| Predicate | sensingAction |
P83078
|
FINISHED |
| Object | detects whether the medium is idle or busy |
—
|
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: detects whether the medium is idle or busy | Statement: [CSMA, sensingAction, detects whether the medium is idle or busy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sensingAction Context triple: [CSMA, sensingAction, detects whether the medium is idle or busy]
-
A.
hasSensor
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
B.
sensorySystem
Indicates that one entity functions as the sensory system (or part of it) of another, enabling the detection and processing of internal or external stimuli.
-
C.
providesSensoryEffects
Indicates that one entity causes or contributes to sensory experiences or perceptions in another entity.
-
D.
sawActionDuring
Indicates that one entity observed an action or event occurring within a specific time period or during another event.
-
E.
senses
Indicates that an entity perceives or detects another entity or stimulus through one of its senses.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59c413881909513d8a9d52333c0 |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:14 p.m.