Triple

T10827261
Position Surface form Disambiguated ID Type / Status
Subject Heroku E255524 entity
Predicate databaseProduct P95953 FINISHED
Object Heroku Redis E183380 NE FINISHED

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: Heroku Redis | Statement: [Heroku, databaseProduct, Heroku Redis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heroku Redis
Context triple: [Heroku, databaseProduct, Heroku Redis]
  • 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. Heroku
    Heroku is a cloud platform as a service (PaaS) that enables developers to build, run, and scale applications without managing underlying infrastructure.
  • C. Amazon ElastiCache
    Amazon ElastiCache is a fully managed in-memory data store and caching service that improves application performance by enabling fast, sub-millisecond data retrieval.
  • D. RethinkDB
    RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
  • E. MongoDB Cloud
    MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d2b9f88190b79a7b168d7836c8 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8592d8f08190ac577395ad7cc557 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.