Triple
T30300977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messages (watchOS) |
E770649
|
entity |
| Predicate | manufacturerOfTargetDevice |
P4022
|
FINISHED |
| Object | Apple Inc. |
—
|
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: Apple Inc. | Statement: [Messages (watchOS), manufacturerOfTargetDevice, Apple Inc.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerOfTargetDevice Context triple: [Messages (watchOS), manufacturerOfTargetDevice, Apple Inc.]
-
A.
manufacturedBy
chosen
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
B.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
C.
manufacturerStatus
Indicates the current operational or business condition of a manufacturer in relation to the product or agreement in question.
-
D.
manufacturerSupportedBy
Indicates that a manufacturer receives backing, assistance, or endorsement from another party.
-
E.
targetVendorDevice
Indicates that a device is specifically associated with or designated as the target device for a particular vendor.
- F. None of above.
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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6813a47dc81908cc75bae4d2b97cc |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:48 p.m.