Triple
T15171323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SafetyNet APIs |
E362491
|
entity |
| Predicate | includesComponent |
P1393
|
FINISHED |
| Object | SafetyNet Attestation API |
E362491
|
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: SafetyNet Attestation API | Statement: [SafetyNet APIs, includesComponent, SafetyNet Attestation API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SafetyNet Attestation API Context triple: [SafetyNet APIs, includesComponent, SafetyNet Attestation API]
-
A.
Authy
Authy is a two-factor authentication app and service that provides secure, multi-device token-based login protection for online accounts.
-
B.
SafetyNet APIs
chosen
SafetyNet APIs are a set of Google security and device integrity services that help Android apps protect against threats like device tampering, bad URLs, and potentially harmful apps.
-
C.
FIDO2
FIDO2 is an open authentication standard that enables secure, passwordless logins using public-key cryptography across web and native applications.
-
D.
Authenticator Assurance Level
Authenticator Assurance Level is a NIST-defined measure of the strength and reliability of an authentication process, indicating the degree of confidence that a user has been properly authenticated.
-
E.
Secure Device Onboard
Secure Device Onboard is an LF Edge project that provides an automated, secure onboarding solution for connecting IoT and edge devices to cloud and edge platforms.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064ec56481909f11fa6e5686f076 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88c69088190a61f0a5719e99b87 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.