Triple
T22953577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akai MPC60 |
E570087
|
entity |
| Predicate | MIDIInputsCount |
P68596
|
FINISHED |
| Object | 2 MIDI IN ports |
—
|
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: 2 MIDI IN ports | Statement: [Akai MPC60, MIDIInputsCount, 2 MIDI IN ports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MIDIInputsCount Context triple: [Akai MPC60, MIDIInputsCount, 2 MIDI IN ports]
-
A.
midiPorts
chosen
Indicates a relationship where one entity exposes or uses one or more MIDI input/output ports associated with another entity.
-
B.
controllerPortCount
Indicates the number of ports available on a given controller.
-
C.
controllerPortCountUsed
Indicates the number of ports on a controller that are currently in use.
-
D.
numberInInstrument
Indicates that an entity specifies the count or quantity of items contained within or associated with a particular instrument.
-
E.
numberOfInstruments
Indicates the quantitative count of instruments associated with or involved in a given entity or event.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a34c30819099ff4812500a0991 |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:46 p.m.