Triple
T19111718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raft consensus algorithm |
E467805
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | TiKV |
—
|
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: TiKV | Statement: [Raft consensus algorithm, usedIn, TiKV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TiKV Context triple: [Raft consensus algorithm, usedIn, TiKV]
-
A.
TiKV
chosen
TiKV is an open-source, distributed transactional key-value database designed for horizontal scalability and strong consistency, often used as the storage layer for cloud-native applications.
-
B.
CockroachDB
CockroachDB is a distributed SQL database designed for horizontal scalability, strong consistency, and high fault tolerance across multiple nodes and regions.
-
C.
RocksDB
RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
-
D.
BSTDB
BSTDB is a regional multilateral development bank that finances projects to promote economic development and cooperation among Black Sea region member countries.
-
E.
ScyllaDB
ScyllaDB is a high-performance, distributed NoSQL database designed as a drop-in replacement for Apache Cassandra, optimized for low latency and high throughput.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e394969c81909d09b2300ea0e041 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:04 p.m.