Triple
T29305066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SG-1000 |
E743068
|
entity |
| Predicate | inputOutputPorts |
P34282
|
FINISHED |
| Object | RF output |
—
|
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: RF output | Statement: [SG-1000, inputOutputPorts, RF output]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputOutputPorts Context triple: [SG-1000, inputOutputPorts, RF output]
-
A.
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.
-
B.
hasPorts
chosen
Indicates that an entity is equipped with or provides access points (ports) for connection, communication, or interface with other entities or systems.
-
C.
controllerPortCount
Indicates the number of ports available on a given controller.
-
D.
controllerPortCountUsed
Indicates the number of ports on a controller that are currently in use.
-
E.
midiPorts
Indicates a relationship where one entity exposes or uses one or more MIDI input/output ports associated with 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 1:12 p.m.