Triple
T10266958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HKHealthStore |
E240732
|
entity |
| Predicate | usageRequirement |
P93022
|
FINISHED |
| Object | requires HealthKit capability in app entitlements |
—
|
LITERAL 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: requires HealthKit capability in app entitlements | Statement: [HKHealthStore, usageRequirement, requires HealthKit capability in app entitlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usageRequirement Context triple: [HKHealthStore, usageRequirement, requires HealthKit capability in app entitlements]
-
A.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
B.
unitRequirement
Indicates that one entity specifies a required quantity or unit that another entity must meet or conform to.
-
C.
evaluationRequirement
Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
-
D.
typicalRequirement
Indicates that one entity is a standard or commonly expected prerequisite, condition, or necessity for another entity.
-
E.
communicationRequirement
Indicates that one entity is obligated or expected to communicate with another entity under specified conditions or for a particular purpose.
- F. None of above. chosen
Provenance (4 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_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d285812c8190ab910dc85c53eebf |
completed | April 7, 2026, 9:46 a.m. |
Created at: April 6, 2026, 11:34 a.m.