Triple
T6088494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akai MPC3000 |
E135696
|
entity |
| Predicate | hasSCSIInterface |
P34297
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Akai MPC3000, hasSCSIInterface, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSCSIInterface Context triple: [Akai MPC3000, hasSCSIInterface, true]
-
A.
hasInternalHardDrive
Indicates that one entity possesses an internal hard drive as a built-in storage component.
-
B.
hasFloppyDrive
Indicates that an entity is equipped with or includes a floppy disk drive.
-
C.
hasCommunicationInterface
chosen
Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
-
D.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
E.
hasCISDisplays
Indicates that an entity is equipped with or includes CIS (Customer Information System) display units.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.