Triple
T272497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM PC |
E5665
|
entity |
| Predicate | cpuWordSize |
P4121
|
FINISHED |
| Object | 16-bit internal, 8-bit external bus |
—
|
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: 16-bit internal, 8-bit external bus | Statement: [IBM PC, cpuWordSize, 16-bit internal, 8-bit external bus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cpuWordSize Context triple: [IBM PC, cpuWordSize, 16-bit internal, 8-bit external bus]
-
A.
bitWidth
chosen
Indicates the number of bits used to represent or encode a given value, type, or data element.
-
B.
addressSpaceSize
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
-
C.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
D.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
E.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcf667c8190a7b8630fe67b9a90 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7345c4819086c21710864a1b42 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.