Triple
T452458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skype |
E7156
|
entity |
| Predicate | supportsEncryption |
P203
|
FINISHED |
| Object | end-to-end encryption for private conversations |
—
|
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: end-to-end encryption for private conversations | Statement: [Skype, supportsEncryption, end-to-end encryption for private conversations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEncryption Context triple: [Skype, supportsEncryption, end-to-end encryption for private conversations]
-
A.
requiresEncryption
Indicates that one entity must use encryption when communicating with, storing data for, or otherwise interacting with another entity.
-
B.
usesEncryptionAlgorithm
Indicates that one entity applies or relies on a specific encryption algorithm to protect data or communications.
-
C.
hasCrypt
Indicates that one entity possesses, contains, or is associated with a crypt belonging to or located within it.
-
D.
supportsKeyLength
Indicates that one entity is capable of handling, accepting, or operating with a specified cryptographic key length associated with another entity.
-
E.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef854f7481909dc2207faf0327ec |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede3187c8190a7ced078f0ec3476 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.