Triple
T272175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diffie–Hellman key exchange |
E5655
|
entity |
| Predicate | notSecureAgainst |
P583
|
FINISHED |
| Object | active man-in-the-middle without authentication |
—
|
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: active man-in-the-middle without authentication | Statement: [Diffie–Hellman key exchange, notSecureAgainst, active man-in-the-middle without authentication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notSecureAgainst Context triple: [Diffie–Hellman key exchange, notSecureAgainst, active man-in-the-middle without authentication]
-
A.
doesNotProtect
Indicates that an entity fails to provide protection or safeguarding to another entity or object.
-
B.
securedVariant
Indicates that one entity is a security-enhanced or more protected version of another entity.
-
C.
susceptibleTo
chosen
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
-
D.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
E.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.