Triple
T36883592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sequoia |
E911546
|
entity |
| Predicate | totalSystemMemoryTB |
P52984
|
FINISHED |
| Object | about 1,572 |
—
|
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: about 1,572 | Statement: [Sequoia, totalSystemMemoryTB, about 1,572]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalSystemMemoryTB Context triple: [Sequoia, totalSystemMemoryTB, about 1,572]
-
A.
mainMemorySize
chosen
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
B.
totalSpace
Indicates the overall amount of space or capacity available or occupied by an entity or within a given context.
-
C.
totalSystemLength
Indicates the complete measured length of an entire system, aggregating all its relevant components or segments.
-
D.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
E.
totalCPUs
Indicates the total number of CPU units or cores allocated to or available for a given entity.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.