Triple
T10266905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HKWorkout |
E240731
|
entity |
| Predicate | supportsAssociationWith |
P93021
|
FINISHED |
| Object | HKSample |
—
|
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: HKSample | Statement: [HKWorkout, supportsAssociationWith, HKSample]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAssociationWith Context triple: [HKWorkout, supportsAssociationWith, HKSample]
-
A.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
B.
supportsRelation
Indicates that one entity provides assistance, endorsement, or structural backing to another entity or its activity.
-
C.
associatedWithResource
Indicates a relationship in which an entity is linked or connected to a particular resource, such that the resource is relevant or applicable to that entity.
-
D.
requiresArticlesOfAssociation
Indicates that one entity must have or provide formal Articles of Association as a prerequisite for a relationship, action, or status involving another entity.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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.