Triple

T20004028
Position Surface form Disambiguated ID Type / Status
Subject CMLogItem E494404 entity
Predicate relatedTo P37 FINISHED
Object CMMotionManager NE NERFINISHED

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: CMMotionManager | Statement: [CMLogItem, relatedTo, CMMotionManager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMMotionManager
Context triple: [CMLogItem, relatedTo, CMMotionManager]
  • A. CMMotionManager chosen
    CMMotionManager is an iOS Core Motion framework class that provides access to and management of motion data from a device’s accelerometer, gyroscope, and related sensors in real time.
  • B. CMMotionActivity
    CMMotionActivity is an iOS Core Motion framework class that represents the device’s current physical activity state, such as walking, running, cycling, or driving, inferred from motion sensor data.
  • C. CoreMotion
    CoreMotion is an Apple framework that provides access to motion and fitness data from device sensors such as accelerometers and gyroscopes.
  • D. CMAccelerometerData
    CMAccelerometerData is an iOS Core Motion framework class that encapsulates raw accelerometer measurements, including acceleration values along the x, y, and z axes.
  • E. CMMagnetometerData
    CMMagnetometerData is an iOS Core Motion framework class that encapsulates raw magnetometer measurements and related metadata from a device’s motion sensors.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.