Triple

T20003339
Position Surface form Disambiguated ID Type / Status
Subject Apple M8 motion coprocessor E494389 entity
Predicate successor P78 FINISHED
Object Apple M9 motion coprocessor
The Apple M9 motion coprocessor is a low-power chip integrated into certain Apple SoCs to continuously process sensor data for fitness tracking, motion detection, and "Hey Siri" voice activation without heavily draining the main processor.
E1408040 NE FINISHED

How this triple was built (4 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 M9 motion coprocessor | Statement: [Apple M8 motion coprocessor, successor, Apple M9 motion coprocessor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple M9 motion coprocessor
Context triple: [Apple M8 motion coprocessor, successor, Apple M9 motion coprocessor]
  • A. Apple M8 motion coprocessor
    The Apple M8 motion coprocessor is a low-power chip used in certain Apple devices to continuously track motion and sensor data, enabling fitness, navigation, and context-aware features without heavily draining the main processor’s battery.
  • B. Apple M7 motion coprocessor
    The Apple M7 motion coprocessor is a low-power chip introduced by Apple to continuously collect and process sensor data (like accelerometer, gyroscope, and compass readings) from iOS devices without heavily using the main CPU, improving efficiency for fitness and location tracking features.
  • C. Apple S1
    Apple S1 is a custom system-in-package (SiP) chip designed by Apple to power the first-generation Apple Watch, integrating multiple components for efficient performance in a compact wearable form factor.
  • D. S9 SiP in Apple Watch Series 9
    The S9 SiP in Apple Watch Series 9 is Apple’s custom system-in-package that powers improved performance, on-device Siri processing, and enhanced features like the double-tap gesture in the Series 9 smartwatch.
  • E. CoreMotion
    CoreMotion is an Apple framework that provides access to motion and fitness data from device sensors such as accelerometers and gyroscopes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Apple M9 motion coprocessor
Triple: [Apple M8 motion coprocessor, successor, Apple M9 motion coprocessor]
Generated description
The Apple M9 motion coprocessor is a low-power chip integrated into certain Apple SoCs to continuously process sensor data for fitness tracking, motion detection, and "Hey Siri" voice activation without heavily draining the main processor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Apple M9 motion coprocessor
Target entity description: The Apple M9 motion coprocessor is a low-power chip integrated into certain Apple SoCs to continuously process sensor data for fitness tracking, motion detection, and "Hey Siri" voice activation without heavily draining the main processor.
  • A. Apple M8 motion coprocessor
    The Apple M8 motion coprocessor is a low-power chip used in certain Apple devices to continuously track motion and sensor data, enabling fitness, navigation, and context-aware features without heavily draining the main processor’s battery.
  • B. Apple M7 motion coprocessor
    The Apple M7 motion coprocessor is a low-power chip introduced by Apple to continuously collect and process sensor data (like accelerometer, gyroscope, and compass readings) from iOS devices without heavily using the main CPU, improving efficiency for fitness and location tracking features.
  • C. Apple S1
    Apple S1 is a custom system-in-package (SiP) chip designed by Apple to power the first-generation Apple Watch, integrating multiple components for efficient performance in a compact wearable form factor.
  • D. S9 SiP in Apple Watch Series 9
    The S9 SiP in Apple Watch Series 9 is Apple’s custom system-in-package that powers improved performance, on-device Siri processing, and enhanced features like the double-tap gesture in the Series 9 smartwatch.
  • E. CoreMotion
    CoreMotion is an Apple framework that provides access to motion and fitness data from device sensors such as accelerometers and gyroscopes.
  • F. None of above. chosen

Provenance (5 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a3ad148190918f9dce755fe470 completed April 20, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0815f44eb881909edc41a6e4824ac2 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0816acfb10819081943d651aa060bf completed May 16, 2026, 7:03 a.m.
NED2 Entity disambiguation (via description) batch_6a081702e8f081908a609fefc378ce9b completed May 16, 2026, 7:04 a.m.
Created at: April 11, 2026, 3:33 p.m.