Triple
T11033352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSH Encryption Algorithm Names |
E260813
|
entity |
| Predicate | exampleRecommended |
P58814
|
FINISHED |
| Object | [email protected] |
—
|
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: [email protected] | Statement: [SSH Encryption Algorithm Names, exampleRecommended, [email protected]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleRecommended Context triple: [SSH Encryption Algorithm Names, exampleRecommended, [email protected]]
-
A.
recommendedIn
chosen
Indicates that one entity is suggested or endorsed within the context, content, or scope of another entity (such as a document, list, or recommendation source).
-
B.
commendedFor
Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
-
C.
implementsRecommendationOf
Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
-
D.
isOftenRecommendedBy
Indicates that one entity is frequently suggested or endorsed by another as a preferred or suitable choice.
-
E.
recitationRecommendedBy
Indicates that one entity recommends or endorses another entity as suitable or preferred for recitation.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e650b48190967c53f54e3464ad |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.