Triple
T7986024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google File System |
E185682
|
entity |
| Predicate | masterPersistence |
P31904
|
FINISHED |
| Object | operation log and checkpoints |
—
|
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: operation log and checkpoints | Statement: [Google File System, masterPersistence, operation log and checkpoints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: masterPersistence Context triple: [Google File System, masterPersistence, operation log and checkpoints]
-
A.
persistence
Indicates a continued or repeated existence, occurrence, or effort of something over time despite potential changes or obstacles.
-
B.
supportsPersistence
chosen
Indicates that one entity enables or provides the capability for another entity’s data or state to be stored and retained over time.
-
C.
persistenceModel
Indicates that one entity serves as the persistence representation or storage model used to save, load, or otherwise persist the state of another entity.
-
D.
persistsAfter
Indicates that one state, condition, or effect continues to exist after a specified event, time point, or other state has occurred or ended.
-
E.
permanence
Indicates that a state, condition, or relationship continues to hold over time without significant change or interruption.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4b87e48190a797f5363c8f0a04 |
completed | March 31, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.