Triple
T7858388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAT32 |
E182432
|
entity |
| Predicate | maximumClusterCount |
P79406
|
FINISHED |
| Object | 268435445 |
—
|
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: 268435445 | Statement: [FAT32, maximumClusterCount, 268435445]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumClusterCount Context triple: [FAT32, maximumClusterCount, 268435445]
-
A.
maxCoresPerCluster
Indicates the maximum number of processing cores that are allowed or allocated within a single cluster.
-
B.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
C.
dominantCluster
Indicates that one cluster in a set is the most influential or representative group relative to the others, often based on size, centrality, or impact.
-
D.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
E.
maximumTermCount
Indicates the highest number of terms that are allowed or considered within a given context or operation.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a76f8648190976b488d0d8658ef |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:52 p.m.