Triple
T1719287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | User Account Control |
E37354
|
entity |
| Predicate | defaultUserTokenType |
P31936
|
FINISHED |
| Object | standard user token |
—
|
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: standard user token | Statement: [User Account Control, defaultUserTokenType, standard user token]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultUserTokenType Context triple: [User Account Control, defaultUserTokenType, standard user token]
-
A.
authenticationType
Indicates the method or mechanism used to verify and confirm an entity’s identity in an interaction or system.
-
B.
credentialType
Indicates the specific kind or category of credential associated with an entity or relationship.
-
C.
typeOfGrant
Indicates the specific category or kind of grant associated with an entity.
-
D.
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.
-
E.
grantType
Indicates the specific authorization or credential flow used to obtain access or permissions in a grant-based process.
- F. None of above. chosen
Provenance (4 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab5c7780bc81909fc6e173a216cb0b |
completed | March 6, 2026, 11 p.m. |
Created at: March 4, 2026, 7:30 p.m.