Triple
T33204479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metal |
E849985
|
entity |
| Predicate | hardwareTarget |
P55922
|
FINISHED |
| Object | Apple GPUs |
—
|
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 GPUs | Statement: [Metal, hardwareTarget, Apple GPUs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hardwareTarget Context triple: [Metal, hardwareTarget, Apple GPUs]
-
A.
hardwarePlatformFor
chosen
Indicates that one entity serves as the hardware platform on which another entity is designed to run or be deployed.
-
B.
hardwareComponent
Indicates that one entity is a physical hardware part or module that is contained in, attached to, or functionally part of another hardware system or device.
-
C.
hasDevelopmentBoard
Indicates that an entity is associated with, or supported by, a specific development board used for building or testing hardware or software.
-
D.
hardwareImplementation
Indicates that one entity is realized, executed, or embodied as a physical hardware implementation of another (such as a design, specification, or abstract function).
-
E.
hardwareUsed
Indicates that a particular piece of hardware is utilized or employed in performing an action, process, or function involving another entity.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.