Triple
T701047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DS Logon |
E13998
|
entity |
| Predicate | loginType |
P6396
|
FINISHED |
| Object | username and password |
—
|
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: username and password | Statement: [DS Logon, loginType, username and password]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loginType Context triple: [DS Logon, loginType, username and password]
-
A.
credentialType
chosen
Indicates the specific kind or category of credential associated with an entity or relationship.
-
B.
sessionType
Indicates the classification or category of a particular session based on its purpose, format, or context.
-
C.
securityType
Indicates the classification or category of security associated with an entity, such as the type of financial instrument, protection mechanism, or access control applied.
-
D.
registrationMode
Indicates the method or process by which something is registered or enrolled.
-
E.
typeOfGrant
Indicates the specific category or kind of grant associated with an entity.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.