Triple
T30315701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMac Pro (2017) |
E771048
|
entity |
| Predicate | optionalInputDevice |
P2571
|
FINISHED |
| Object | Magic Trackpad 2 |
—
|
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: Magic Trackpad 2 | Statement: [iMac Pro (2017), optionalInputDevice, Magic Trackpad 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: optionalInputDevice Context triple: [iMac Pro (2017), optionalInputDevice, Magic Trackpad 2]
-
A.
inputDevice
chosen
Indicates that one entity functions as a device used to provide input to another entity or system.
-
B.
selectionDevice
Indicates that one entity functions as a tool or mechanism used to choose, pick, or select another entity from a set of options.
-
C.
primaryInputOutput
Indicates that one entity serves as the main source or destination of data, signals, or materials for another entity within a process or system.
-
D.
inputType
Indicates the kind or format of data that an entity expects to receive as input in a given context.
-
E.
visualDevice
Indicates a relationship where an entity functions as or is associated with a device used for visual display, capture, or processing.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68193b2b08190a00f08dbba490563 |
completed | May 2, 2026, 10:58 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:51 p.m.