Triple
T23277550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzweil PC2 |
E588762
|
entity |
| Predicate | hasExpansionSlotCount |
P8614
|
FINISHED |
| Object | 2 |
—
|
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 | Statement: [Kurzweil PC2, hasExpansionSlotCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpansionSlotCount Context triple: [Kurzweil PC2, hasExpansionSlotCount, 2]
-
A.
expansionSlots
chosen
Indicates that an entity provides one or more hardware expansion slots available for adding additional components or capabilities.
-
B.
hasNuBusSlots
Indicates that an entity (typically a computer or motherboard) possesses one or more NuBus expansion slots.
-
C.
hasCartridgeSlot
Indicates that an object includes a dedicated slot or receptacle designed to accept and hold a cartridge.
-
D.
hasExpansionInterface
Indicates that an entity provides or supports an interface through which it can be expanded or extended with additional components or functionality.
-
E.
hasExpansionType
Indicates that an entity is associated with a particular mode or category of expansion (such as how it grows, extends, or scales).
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19578adf48190bdb129a55f86172c |
completed | April 29, 2026, 5:22 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:49 p.m.