Triple
T4093930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IAS machine |
E87767
|
entity |
| Predicate | mainMemorySize |
P52984
|
FINISHED |
| Object | 1024 words |
—
|
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 words | Statement: [IAS machine, mainMemorySize, 1024 words]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainMemorySize Context triple: [IAS machine, mainMemorySize, 1024 words]
-
A.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
B.
primaryMemoryType
Indicates the main or dominant type of memory associated with or used by an entity in a given context.
-
C.
minRAM
Indicates that an entity requires at least a specified minimum amount of RAM to function or be considered valid.
-
D.
addressSpaceSize
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
-
E.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcda2f408190bcf2b64535193162 |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:40 p.m.