Triple

T20003338
Position Surface form Disambiguated ID Type / Status
Subject Apple M8 motion coprocessor E494389 entity
Predicate predecessor P97 FINISHED
Object Apple M7 motion coprocessor NE NERFINISHED

How this triple was built (3 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 M7 motion coprocessor | Statement: [Apple M8 motion coprocessor, predecessor, Apple M7 motion coprocessor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple M7 motion coprocessor
Context triple: [Apple M8 motion coprocessor, predecessor, Apple M7 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 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.
  • C. Apple A7
    The Apple A7 is a 64-bit ARM-based system-on-a-chip designed by Apple and introduced in 2013, powering devices like the iPhone 5s and iPad Air with significantly improved performance and efficiency over its predecessors.
  • D. Apple A4
    Apple A4 is Apple’s first in-house designed system-on-a-chip, introduced in 2010 to power devices like the iPhone 4 and original iPad.
  • E. Apple A5
    The Apple A5 is a dual-core system-on-a-chip designed by Apple that powered devices like the iPhone 4S and iPad 2, offering significantly improved performance and graphics over its predecessor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Apple M7 motion coprocessor
Target entity description: 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.
  • 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 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.
  • C. Apple A7
    The Apple A7 is a 64-bit ARM-based system-on-a-chip designed by Apple and introduced in 2013, powering devices like the iPhone 5s and iPad Air with significantly improved performance and efficiency over its predecessors.
  • D. Apple A4
    Apple A4 is Apple’s first in-house designed system-on-a-chip, introduced in 2010 to power devices like the iPhone 4 and original iPad.
  • E. Apple A5
    The Apple A5 is a dual-core system-on-a-chip designed by Apple that powered devices like the iPhone 4S and iPad 2, offering significantly improved performance and graphics over its predecessor.
  • F. None of above. chosen

Provenance (2 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.
Created at: April 11, 2026, 3:33 p.m.