Triple
T33204137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple graphics and compute ecosystem |
E849979
|
entity |
| Predicate | includesSoftwareFramework |
P58147
|
FINISHED |
| Object | Metal |
E121537
|
NE 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: Metal | Statement: [Apple graphics and compute ecosystem, includesSoftwareFramework, Metal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSoftwareFramework Context triple: [Apple graphics and compute ecosystem, includesSoftwareFramework, Metal]
-
A.
isPartOfFramework
Indicates that one entity functions as a component, module, or element within a larger structured framework or system.
-
B.
frameworkSupport
chosen
Indicates that one entity provides compatibility with, or operational support for, a particular framework used by another entity.
-
C.
frameworkName
Indicates that a specific framework is identified by the given name.
-
D.
frameworkFor
Indicates that one entity serves as a supporting structure, system, or basis that organizes, guides, or enables the development or functioning of another entity.
-
E.
relatesToFramework
Indicates a general association or connection between an entity and a particular framework (such as a software, legal, or conceptual framework).
- F. None of above.
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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a02f847b9848190a9fedbc411ae0918 |
completed | May 12, 2026, 9:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a354308c370819098e9d7e845404c20 |
completed | June 19, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_6a02f556860c8190b2995433fa05fdd0 |
completed | May 12, 2026, 9:39 a.m. |
Created at: May 1, 2026, 1:30 a.m.