Triple
T8993637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPFS |
E214846
|
entity |
| Predicate | supportsAccessPattern |
P29142
|
FINISHED |
| Object | sequential I/O |
—
|
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: sequential I/O | Statement: [GPFS, supportsAccessPattern, sequential I/O]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAccessPattern Context triple: [GPFS, supportsAccessPattern, sequential I/O]
-
A.
supportsPatternType
chosen
Indicates that one entity is compatible with, or capable of handling, a specified pattern type.
-
B.
hasAccessMode
Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
-
C.
supportsPermissionType
Indicates that one entity is capable of handling, allowing, or being configured with a specified type of permission.
-
D.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687798a881908e6fdd9a39219f1d |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.