Triple
T9614303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TLC (triple-level cell) |
E232179
|
entity |
| Predicate | writeLatency |
P89247
|
FINISHED |
| Object | typically higher than SLC and MLC |
—
|
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: typically higher than SLC and MLC | Statement: [TLC (triple-level cell), writeLatency, typically higher than SLC and MLC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writeLatency Context triple: [TLC (triple-level cell), writeLatency, typically higher than SLC and MLC]
-
A.
communicationLatency
Indicates the time delay between when a communication is sent by one entity and when it is received or processed by another.
-
B.
writesSystem
Indicates that an entity authors or produces a system, such as designing, coding, or otherwise creating it.
-
C.
writesTo
Indicates that one entity produces and records information, data, or content into another entity as a destination or storage target.
-
D.
writtenTo
Indicates that something has been addressed or directed in written form to a particular recipient.
-
E.
writingSpeed
Indicates the rate at which an entity produces written content over a given period of time.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:09 p.m.