Triple
T18227507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Baby |
E436456
|
entity |
| Predicate | primaryMemoryCapacityBits |
P52984
|
FINISHED |
| Object | 1024 |
—
|
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: 1024 | Statement: [Manchester Baby, primaryMemoryCapacityBits, 1024]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMemoryCapacityBits Context triple: [Manchester Baby, primaryMemoryCapacityBits, 1024]
-
A.
mainMemorySize
chosen
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
B.
cpuBits
Indicates the number of bits used by a CPU’s architecture or word size in the described context.
-
C.
primaryMemoryType
Indicates the main or dominant type of memory associated with or used by an entity in a given context.
-
D.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
E.
addressSpaceSize
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b0ed5c819096f4fd3a8debc1a4 |
completed | April 19, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.