Triple
T10266855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HKWorkout |
E240731
|
entity |
| Predicate | definedIn |
P775
|
FINISHED |
| Object | HealthKit framework |
E46912
|
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: HealthKit framework | Statement: [HKWorkout, definedIn, HealthKit framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HealthKit framework Context triple: [HKWorkout, definedIn, HealthKit framework]
-
A.
HealthKit framework
chosen
HealthKit framework is an Apple software framework that enables apps to securely access, store, and share users’ health and fitness data on iOS devices.
-
B.
Apple Health Research
Apple Health Research is an Apple initiative that uses iPhone-based tools and apps to enable large-scale medical studies by collecting health data from participants.
-
C.
CareKit
CareKit is an open-source Apple framework that helps developers build iOS apps for tracking, managing, and visualizing users’ health and care plans.
-
D.
Samsung Health
Samsung Health is Samsung’s health and fitness tracking platform that monitors activity, sleep, heart rate, and other wellness metrics across its mobile devices and wearables.
-
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.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d26d4dd88190bdd324bafa1e8e00 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794b9b1d881908c55aa50da68ae75 |
completed | April 9, 2026, 11:59 a.m. |
Created at: April 6, 2026, 11:34 a.m.