Triple
T14086992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZFS Intent Log |
E339022
|
entity |
| Predicate | loggingMode |
P112764
|
FINISHED |
| Object | write-ahead logging |
—
|
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: write-ahead logging | Statement: [ZFS Intent Log, loggingMode, write-ahead logging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loggingMode Context triple: [ZFS Intent Log, loggingMode, write-ahead logging]
-
A.
loggingTool
Indicates that an entity serves as or uses a tool specifically intended for logging events, data, or activities.
-
B.
loggingLocation
Indicates the place or destination where logs or logging information are recorded or stored.
-
C.
configurationLevel
Indicates the degree or tier of settings or parameters applied to configure something within a system or context.
-
D.
logicalLevel
Indicates the relative position or depth of something within a hierarchy of abstraction, reasoning, or logical structure.
-
E.
displayMode
Indicates how content or information is visually presented or arranged to the user.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5edff1b881909ea56dc2429ef2dd |
completed | April 14, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.