Triple
T31776278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLC (single-level cell) |
E811072
|
entity |
| Predicate | hasWriteCycleEnduranceRange |
P97058
|
FINISHED |
| Object | approximately 50000 to 100000 program-erase cycles |
—
|
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: approximately 50000 to 100000 program-erase cycles | Statement: [SLC (single-level cell), hasWriteCycleEnduranceRange, approximately 50000 to 100000 program-erase cycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWriteCycleEnduranceRange Context triple: [SLC (single-level cell), hasWriteCycleEnduranceRange, approximately 50000 to 100000 program-erase cycles]
-
A.
typicalNumberOfCycles
chosen
Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
-
B.
hasWriteProtection
Indicates that an entity is configured to prevent writing or modification operations.
-
C.
wornUntil
Indicates that an item of clothing or wearable object was used or worn continuously up to a specific time or event.
-
D.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
E.
bootCapacity
Indicates the storage volume or carrying capacity available in the boot (trunk) of a vehicle.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:35 p.m.