Triple
T10303045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Find My |
E241679
|
entity |
| Predicate | supportsDeviceType |
P4634
|
FINISHED |
| Object | AirTag |
E241679
|
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: AirTag | Statement: [Find My, supportsDeviceType, AirTag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AirTag Context triple: [Find My, supportsDeviceType, AirTag]
-
A.
Find My iPhone
Find My iPhone is an Apple service that lets users locate, lock, or erase their lost or stolen iOS devices remotely.
-
B.
Find My
chosen
Find My is Apple's device and item tracking service that lets users locate lost or stolen Apple products and compatible accessories across their devices.
-
C.
Keychain
Keychain is Apple's built-in password and credentials manager that securely stores and autofills logins, certificates, and other sensitive information across its devices and apps.
-
D.
Touch ID
Touch ID is Apple's fingerprint recognition technology used on devices like the MacBook Pro for secure authentication and payments.
-
E.
Apple W1
The Apple W1 is a custom wireless audio chip designed by Apple to provide efficient Bluetooth connectivity, seamless pairing, and improved battery performance in compatible devices like AirPods and certain Beats headphones.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30846108190875042ab1c0204e0 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d4f6c30819098bcdc77ba1836c3 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:45 a.m.