Triple
T30407057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solana |
E773507
|
entity |
| Predicate | transactionThroughput |
P195499
|
FINISHED |
| Object | thousands of transactions per second |
—
|
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: thousands of transactions per second | Statement: [Solana, transactionThroughput, thousands of transactions per second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transactionThroughput Context triple: [Solana, transactionThroughput, thousands of transactions per second]
-
A.
currentThroughputTrend
Indicates how the rate of processing or data transfer is changing over time (e.g., increasing, decreasing, or stable).
-
B.
transactionCount
Indicates the number of transactions that have occurred involving the specified entity or between the related entities.
-
C.
polygonThroughput
Indicates the rate or capacity at which data, operations, or transactions are processed through a polygon-related system or workflow.
-
D.
annualContainerThroughput
Indicates the total volume of containers handled by a facility or system over the course of a year.
-
E.
transaction
Indicates a transfer of value or assets between parties, typically involving an exchange such as payment for goods or services.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69fdd5faea908190a17d77e050362ef5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 29, 2026, 8:04 p.m.