Triple
T11781548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Entra |
E280156
|
entity |
| Predicate | supportsStandard |
P1587
|
FINISHED |
| Object | OpenID Connect |
E184249
|
NE 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: OpenID Connect | Statement: [Microsoft Entra, supportsStandard, OpenID Connect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OpenID Connect Context triple: [Microsoft Entra, supportsStandard, OpenID Connect]
-
A.
OpenID Connect
chosen
OpenID Connect is an identity layer built on top of OAuth 2.0 that enables secure user authentication and single sign-on across applications.
-
B.
OpenID 2.0
OpenID 2.0 is an earlier decentralized authentication protocol that allowed users to sign into multiple websites using a single identity URL, later superseded by OpenID Connect.
-
C.
OAuth 2.0
OAuth 2.0 is an industry-standard authorization framework that enables applications to obtain limited access to user resources on HTTP services without exposing user credentials.
-
D.
OpenID Foundation
The OpenID Foundation is a non-profit organization that develops and promotes open identity standards and protocols to enable secure, interoperable online authentication.
-
E.
SAML
SAML (Security Assertion Markup Language) is an XML-based open standard for exchanging authentication and authorization data between identity providers and service providers, commonly used for single sign-on (SSO) in web applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a58413048190b9e3b9d2f5383ec3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090c828f0819097662c048542b5da |
completed | April 28, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:42 p.m.