Triple
T27613320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UserInfo Endpoint |
E700376
|
entity |
| Predicate | supportsTokenType |
P24486
|
FINISHED |
| Object | Bearer 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: Bearer token | Statement: [UserInfo Endpoint, supportsTokenType, Bearer token]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTokenType Context triple: [UserInfo Endpoint, supportsTokenType, Bearer token]
-
A.
tokenType
Indicates the classification or category assigned to a token within a sequence, such as its syntactic, semantic, or functional role.
-
B.
supportsType
chosen
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
C.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
D.
supportedRegimeType
Indicates that an entity provided backing or endorsement to a particular type of political regime.
-
E.
supportsPermissionType
Indicates that one entity is capable of handling, allowing, or being configured with a specified type of permission.
- 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_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
Created at: April 27, 2026, 2:12 p.m.