Triple
T8521483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple T-series |
E201701
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object | Apple T1 |
E201701
|
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 T1 | Statement: [Apple T-series, marketedAs, Apple T1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple T1 Context triple: [Apple T-series, marketedAs, Apple T1]
-
A.
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.
-
B.
Apple R1
Apple R1 is a custom Apple coprocessor designed to handle real-time sensor processing and spatial computing tasks in the Apple Vision Pro headset.
-
C.
Apple T-series
chosen
The Apple T-series is a line of custom coprocessors used in Apple devices to handle secure operations and specialized tasks like encryption, biometric data processing, and system management.
-
D.
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.
-
E.
Apple One
Apple One is Apple’s subscription bundle that combines multiple services like iCloud storage, music, video, fitness, and news into a single monthly plan.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe62a490481908ee0ad4ba9a94682 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d3fabb08190a3ad63f9153ad44c |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:16 p.m.