Triple
T26409181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCM |
E663912
|
entity |
| Predicate | usesMACMode |
P11331
|
FINISHED |
| Object | CBC-MAC |
—
|
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: CBC-MAC | Statement: [CCM, usesMACMode, CBC-MAC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMACMode Context triple: [CCM, usesMACMode, CBC-MAC]
-
A.
usesMAC
Indicates that one entity employs or operates another entity via its Media Access Control (MAC) address or MAC-based mechanism.
-
B.
MACType
Indicates the type or category of a Medium Access Control (MAC) mechanism or protocol used in a communication system.
-
C.
usedOnMode
chosen
Indicates that something is applied, operated, or functions specifically in a given mode or operational setting.
-
D.
definesMAC
Indicates that one entity specifies or establishes the Media Access Control (MAC) address or MAC-related configuration for another entity.
-
E.
isMICFor
Indicates that one entity represents the minimum inhibitory concentration (MIC) value determined for another entity, typically a microorganism or drug.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 11:37 p.m.