Triple

T18256895
Position Surface form Disambiguated ID Type / Status
Subject Tarantool Lua E437240 entity
Predicate integratedWith P2830 FINISHED
Object Tarantool fiber scheduler
Tarantool fiber scheduler is the cooperative multitasking engine in Tarantool that manages lightweight fibers to enable high-concurrency, non-blocking execution of Lua code.
E1314196 NE FINISHED

How this triple was built (4 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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tarantool fiber scheduler
Triple: [Tarantool Lua, integratedWith, Tarantool fiber scheduler]
Generated 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.
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 (5 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.
NED1 Entity disambiguation (via context triple) batch_6a03ac79bc7881909794d5f563ab0552 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad3be75c819080f57a24747ec55f completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03aede6ea481908bb9acdb2ff17e9a completed May 12, 2026, 10:51 p.m.
Created at: April 10, 2026, 10:34 a.m.