Triple
T18531781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slim Flash |
E452846
|
entity |
| Predicate | persistenceMechanism |
P121051
|
FINISHED |
| Object | HTTP session |
—
|
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: HTTP session | Statement: [Slim Flash, persistenceMechanism, HTTP session]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: persistenceMechanism Context triple: [Slim Flash, persistenceMechanism, HTTP session]
-
A.
persistenceType
Indicates the manner or mode in which something continues to exist, endure, or remain over time.
-
B.
persistence
Indicates a continued or repeated existence, occurrence, or effort of something over time despite potential changes or obstacles.
-
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.
supportsPersistence
Indicates that one entity enables or provides the capability for another entity’s data or state to be stored and retained over time.
-
E.
storageMechanism
chosen
Indicates the method or system by which something is stored, preserved, or kept for later use.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fe35288190977c85ee0bb96264 |
completed | April 19, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.