Triple
T8175387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTFS |
E190925
|
entity |
| Predicate | clusterSizeRange |
P81262
|
FINISHED |
| Object | 512 bytes to 64 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: 512 bytes to 64 KB | Statement: [NTFS, clusterSizeRange, 512 bytes to 64 KB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clusterSizeRange Context triple: [NTFS, clusterSizeRange, 512 bytes to 64 KB]
-
A.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
-
B.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
C.
maximumClusterCount
Indicates the highest number of clusters that are allowed or can be formed in a given context.
-
D.
colonySize
Indicates the number of individuals or units that make up a colony in the described context.
-
E.
grainSize
Indicates the relative coarseness or fineness of the material or particles involved in the relationship.
- 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_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. |
| PDg | Predicate description generation | batch_69cb45503eec8190aeef0da6c3324710 |
completed | March 31, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:40 p.m.