Triple
T18256895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarantool Lua |
E437240
|
entity |
| Predicate | integratedWith |
P2830
|
FINISHED |
| Object | Tarantool fiber scheduler |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tarantool fiber scheduler | Statement: [Tarantool Lua, integratedWith, Tarantool fiber scheduler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarantool fiber scheduler Context triple: [Tarantool Lua, integratedWith, Tarantool fiber scheduler]
-
A.
Tarantool Lua
Tarantool Lua is a specialized dialect of the Lua programming language tailored for the Tarantool in-memory database and application server, providing scripting and extension capabilities tightly integrated with its data and networking features.
-
B.
Vitess
Vitess is an open-source database clustering system that enables horizontal scaling and management of large MySQL deployments, widely used in cloud-native environments.
-
C.
RMF Distributed Data Server
RMF Distributed Data Server is a z/OS component that collects, consolidates, and serves performance and resource usage data from multiple systems for monitoring and analysis.
-
D.
TimesTen
TimesTen is an in-memory relational database from Oracle designed for extremely low-latency, high-throughput data management and real-time analytics.
-
E.
Workload Manager
Workload Manager is a system or software component that monitors, prioritizes, and allocates computing resources to different tasks or applications to optimize overall performance and efficiency.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarantool fiber scheduler Target entity description: Tarantool fiber scheduler is the cooperative multitasking engine in Tarantool that manages lightweight fibers to enable high-concurrency, non-blocking execution of Lua code.
-
A.
Tarantool Lua
Tarantool Lua is a specialized dialect of the Lua programming language tailored for the Tarantool in-memory database and application server, providing scripting and extension capabilities tightly integrated with its data and networking features.
-
B.
Vitess
Vitess is an open-source database clustering system that enables horizontal scaling and management of large MySQL deployments, widely used in cloud-native environments.
-
C.
RMF Distributed Data Server
RMF Distributed Data Server is a z/OS component that collects, consolidates, and serves performance and resource usage data from multiple systems for monitoring and analysis.
-
D.
TimesTen
TimesTen is an in-memory relational database from Oracle designed for extremely low-latency, high-throughput data management and real-time analytics.
-
E.
Workload Manager
Workload Manager is a system or software component that monitors, prioritizes, and allocates computing resources to different tasks or applications to optimize overall performance and efficiency.
- F. None of above. chosen
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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd86e21081909c049082949b95c6 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.