Triple
T1634874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OAuth 2.0 |
E35337
|
entity |
| Predicate | definesGrantType |
P7909
|
FINISHED |
| Object | authorization code grant |
—
|
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: authorization code grant | Statement: [OAuth 2.0, definesGrantType, authorization code grant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesGrantType Context triple: [OAuth 2.0, definesGrantType, authorization code grant]
-
A.
typeOfGrant
Indicates the specific category or kind of grant associated with an entity.
-
B.
grantType
chosen
Indicates the specific authorization or credential flow used to obtain access or permissions in a grant-based process.
-
C.
permitType
Indicates the specific category or kind of permit associated with an entity or activity.
-
D.
authenticationType
Indicates the method or mechanism used to verify and confirm an entity’s identity in an interaction or system.
-
E.
credentialType
Indicates the specific kind or category of credential associated with an entity or relationship.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907cac610819083cafd4396b6d66c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.