Triple
T29503770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proxy-Authorization |
E748453
|
entity |
| Predicate | authenticationLayer |
P76809
|
FINISHED |
| Object | application layer |
—
|
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: application layer | Statement: [Proxy-Authorization, authenticationLayer, application layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authenticationLayer Context triple: [Proxy-Authorization, authenticationLayer, application layer]
-
A.
authenticationStandard
Indicates that one entity defines, specifies, or adheres to a particular method, protocol, or set of rules for verifying the identity of another entity.
-
B.
authenticationType
Indicates the method or mechanism used to verify and confirm an entity’s identity in an interaction or system.
-
C.
authenticationSystem
Indicates that an entity functions as or is associated with a system responsible for verifying identities and controlling access.
-
D.
authenticationProperty
Indicates a relationship where an entity is associated with a specific characteristic, method, or parameter used in its authentication process.
-
E.
authenticationStructure
chosen
Indicates the structural or organizational relationship between an authentication mechanism and the components or processes that implement or support it.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c34a370819089a89f26857d3dfa |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:26 p.m.