Triple
T5015596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple H1 |
E112733
|
entity |
| Predicate | successorTo |
P78
|
FINISHED |
| Object | Apple W1 headphone chip |
E112732
|
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: Apple W1 headphone chip | Statement: [Apple H1, successorTo, Apple W1 headphone chip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple W1 headphone chip Context triple: [Apple H1, successorTo, Apple W1 headphone chip]
-
A.
Apple W1
chosen
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.
-
B.
Apple H1
Apple H1 is a custom wireless audio and connectivity chip by Apple designed to improve performance, battery life, and Bluetooth reliability in devices like AirPods.
-
C.
Apple H2
Apple H2 is a custom wireless audio chip designed by Apple to power advanced sound processing, noise cancellation, and efficiency features in newer AirPods models.
-
D.
AirPods
AirPods are Apple’s wireless Bluetooth earbuds known for their seamless integration with Apple devices, compact charging case, and touch or voice-controlled features.
-
E.
Apple Neural Engine
Apple Neural Engine is Apple’s dedicated on-chip hardware accelerator designed to efficiently perform machine learning and AI computations on its devices.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd732f4c5c8190b90f8e4daab458ee |
completed | March 20, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be927500ec8190b4d87ef86469777d |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:35 p.m.