Triple
T22375064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterline |
E553131
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Redis (via adapter) |
—
|
NE NERFINISHED |
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: Redis (via adapter) | Statement: [Waterline, compatibleWith, Redis (via adapter)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redis (via adapter) Context triple: [Waterline, compatibleWith, Redis (via adapter)]
-
A.
Redis
chosen
Redis is an in-memory data structure store commonly used as a database, cache, and message broker known for its high performance and low latency.
-
B.
Memcached
Memcached is a high-performance, distributed in-memory caching system commonly used to speed up dynamic web applications by reducing database load.
-
C.
Azure Cache for Redis
Azure Cache for Redis is a fully managed, in-memory data store and cache service on Microsoft Azure based on the open-source Redis platform, used to improve application performance and scalability.
-
D.
RDB
RDB is Rwanda’s government agency responsible for promoting investment, tourism, and economic development in the country.
-
E.
Sidekiq
Sidekiq is a popular Ruby background job processing framework that uses Redis to handle asynchronous tasks efficiently and concurrently.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15807cb748190abd9adc08ca1ad4f |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:45 p.m.