Triple
T8175389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTFS |
E190925
|
entity |
| Predicate | maxVolumeSize |
P12009
|
FINISHED |
| Object | theoretically 16 EB |
—
|
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: theoretically 16 EB | Statement: [NTFS, maxVolumeSize, theoretically 16 EB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxVolumeSize Context triple: [NTFS, maxVolumeSize, theoretically 16 EB]
-
A.
maximumVolumeSize
chosen
Indicates the largest allowable size or capacity that a volume can have within a given system or context.
-
B.
maxFileSize
Indicates the maximum allowable size limit for a file in the given context.
-
C.
maximumCapacity
Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
-
D.
maximumPanelSize
Indicates the largest allowable or supported size for a given panel in the specified context.
-
E.
maximumResolution
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ab8295081909a450fcaa34f6ec6 |
completed | March 31, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:40 p.m.