Triple
T1907775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DNSSEC ZSK |
E38040
|
entity |
| Predicate | keyLength |
P32227
|
FINISHED |
| Object | typically shorter than KSK |
—
|
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: typically shorter than KSK | Statement: [DNSSEC ZSK, keyLength, typically shorter than KSK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyLength Context triple: [DNSSEC ZSK, keyLength, typically shorter than KSK]
-
A.
supportsKeyLength
Indicates that one entity is capable of handling, accepting, or operating with a specified cryptographic key length associated with another entity.
-
B.
recommendedKeyLength
chosen
Indicates the suggested or optimal length that a cryptographic key should have for secure use in a given context.
-
C.
keyType
Indicates the classification or category of a key in relation to how it is used or defined within a system or context.
-
D.
keyIndex
Indicates the position or numerical index assigned to a specific key within an ordered set or collection of keys.
-
E.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.