Triple
T12728386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh Performa 600 |
E304165
|
entity |
| Predicate | hasNuBusSlots |
P106602
|
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: [Macintosh Performa 600, hasNuBusSlots, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNuBusSlots Context triple: [Macintosh Performa 600, hasNuBusSlots, true]
-
A.
supportsMultipleSlotsPerBus
Indicates that a single bus is capable of accommodating and operating multiple slots simultaneously.
-
B.
hasMiniPCI
Indicates that one entity is equipped with or includes a Mini PCI (Peripheral Component Interconnect) interface or slot.
-
C.
supportsNumberOfChannelsOnTypicalMotherboard
Indicates that an entity accommodates or is compatible with the typical number of channels provided on a standard motherboard.
-
D.
hasSCSIPort
Indicates that an entity is equipped with or includes an SCSI (Small Computer System Interface) port.
-
E.
hasUSBDevicePortCount
Indicates the number of USB device ports that an entity possesses or supports.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:25 p.m.