Triple
T10266812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HKQuantitySample |
E240730
|
entity |
| Predicate | header |
P93020
|
FINISHED |
| Object | HealthKit/HKQuantitySample.h |
—
|
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: HealthKit/HKQuantitySample.h | Statement: [HKQuantitySample, header, HealthKit/HKQuantitySample.h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: header Context triple: [HKQuantitySample, header, HealthKit/HKQuantitySample.h]
-
A.
headerCategory
Indicates that one entity serves as a categorical grouping or classification for the header or heading represented by the other entity.
-
B.
headDescription
Indicates that one entity serves as a textual or semantic description of the head (primary) entity in the relationship.
-
C.
heads
Indicates that one entity leads, directs, or is in charge of another entity, such as an organization, group, or initiative.
-
D.
headType
Indicates the specific kind or category of head associated with an entity (e.g., type of head part, head role, or head classification in a structure or system).
-
E.
headerField
Indicates that one entity is a specific header field (such as a name–value pair) belonging to or defined within another entity, typically a message, request, or document header.
- 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.