Triple
T28900392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkeley Fast File System |
E732935
|
entity |
| Predicate | fragmentSize |
P20328
|
FINISHED |
| Object | typically 512 bytes to 1 KB |
—
|
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: typically 512 bytes to 1 KB | Statement: [Berkeley Fast File System, fragmentSize, typically 512 bytes to 1 KB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fragmentSize Context triple: [Berkeley Fast File System, fragmentSize, typically 512 bytes to 1 KB]
-
A.
divisionSize
Indicates the size or magnitude of a division or subdivided part in relation to a whole.
-
B.
blockSize
chosen
Indicates the size or capacity of a discrete block unit within a larger structure or system.
-
C.
frameSize
Indicates the size or dimensions of a frame associated with an entity.
-
D.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
E.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65aa7a3708190997f03877d5a4aa0 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:02 a.m.