Triple
T27613351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UserInfo Endpoint |
E700376
|
entity |
| Predicate | maySupportResponseFormat |
P63092
|
FINISHED |
| Object | encrypted JWT |
—
|
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: encrypted JWT | Statement: [UserInfo Endpoint, maySupportResponseFormat, encrypted JWT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maySupportResponseFormat Context triple: [UserInfo Endpoint, maySupportResponseFormat, encrypted JWT]
-
A.
mayHaveSupported
Indicates that an entity possibly provided assistance, endorsement, or backing to another entity, without asserting that this support definitely occurred.
-
B.
supportsForms
Indicates that one entity is capable of handling, accepting, or working with specific forms or form types associated with another entity.
-
C.
alsoSupports
Indicates that an entity, in addition to its primary or previously stated function, provides support for another entity, feature, or activity.
-
D.
supportsForm
chosen
Indicates that one entity provides compatibility or backing for a particular form, format, or type associated with another entity.
-
E.
supportsTextFormat
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 2:12 p.m.