Triple
T10682043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AEAD_CHACHA20_POLY1305 |
E251780
|
entity |
| Predicate | MACType |
P95290
|
FINISHED |
| Object | one-time polynomial 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: one-time polynomial MAC | Statement: [AEAD_CHACHA20_POLY1305, MACType, one-time polynomial MAC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MACType Context triple: [AEAD_CHACHA20_POLY1305, MACType, one-time polynomial MAC]
-
A.
usesMAC
Indicates that one entity employs or operates another entity via its Media Access Control (MAC) address or MAC-based mechanism.
-
B.
definesMAC
Indicates that one entity specifies or establishes the Media Access Control (MAC) address or MAC-related configuration for another entity.
-
C.
marketedAsByApple
Indicates that a product, service, or feature is promoted or presented in marketing materials specifically by Apple as having a particular name, positioning, or branding.
-
D.
peripheralType
Indicates the specific category or kind of peripheral device associated with or used by an entity.
-
E.
MPAType
Indicates the specific category or classification of a Marine Protected Area within a protection or management framework.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:10 p.m.