Triple
T314954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makey Makey extension |
E7685
|
entity |
| Predicate | inputType |
P11909
|
FINISHED |
| Object | keyboard-like signals from Makey Makey |
—
|
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: keyboard-like signals from Makey Makey | Statement: [Makey Makey extension, inputType, keyboard-like signals from Makey Makey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputType Context triple: [Makey Makey extension, inputType, keyboard-like signals from Makey Makey]
-
A.
inputDevice
Indicates that one entity functions as a device used to provide input to another entity or system.
-
B.
typeOfControl
Indicates the specific manner or mechanism by which one entity exercises control or influence over another.
-
C.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
D.
textType
Indicates the classification of a text according to its type, format, or genre.
-
E.
testType
Indicates the specific category or kind of test associated with an entity or event.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea62f830819089e94b3aa3e4e187 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e9428098819089d5950cd2c96dc4 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.