Triple

T1613130
Position Surface form Disambiguated ID Type / Status
Subject NestJS E34654 entity
Predicate supportsTransport P11928 FINISHED
Object Redis
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.
 E183380 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: Redis | Statement: [NestJS, supportsTransport, Redis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Redis
Context triple: [NestJS, supportsTransport, Redis]
  • A. Amazon DynamoDB
    Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
  • B. PostgreSQL
    PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
  • C. B-tree
    A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
  • D. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • E. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • 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: Redis
Triple: [NestJS, supportsTransport, Redis]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Redis
Target entity description: 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.
  • A. Amazon DynamoDB
    Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
  • B. PostgreSQL
    PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
  • C. B-tree
    A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
  • D. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • E. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098e245c8190b0169b648434aa49 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51c751308190a89f6462ee365418 completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad52f6b15c819097d4e56884e31600 completed March 8, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69ad53536a108190b97b7017ad567ad5 completed March 8, 2026, 10:45 a.m.
Created at: March 4, 2026, 7:28 p.m.