Triple

T10827260
Position Surface form Disambiguated ID Type / Status
Subject Heroku E255524 entity
Predicate databaseProduct P95953 FINISHED
Object Heroku Postgres E17669 NE FINISHED

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: Heroku Postgres | Statement: [Heroku, databaseProduct, Heroku Postgres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heroku Postgres
Context triple: [Heroku, databaseProduct, Heroku Postgres]
  • A. Heroku
    Heroku is a cloud platform as a service (PaaS) that enables developers to build, run, and scale applications without managing underlying infrastructure.
  • B. PostgreSQL chosen
    PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
  • C. 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.
  • 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. Amazon Redshift
    Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: databaseProduct
Context triple: [Heroku, databaseProduct, Heroku Postgres]
  • A. databaseType
    Indicates the specific kind or category of database technology associated with an entity.
  • B. databaseIntroducedIn
    Indicates the point in time, version, or context in which a particular database was first introduced or made available.
  • C. usedInDatabases
    Indicates that something is employed or implemented within one or more database systems or database contexts.
  • D. dataAccessTechnology
    Indicates the technology or method used to access, retrieve, or interact with data.
  • E. databaseMaintainedBy
    Indicates that a particular database is operated, managed, or kept up-to-date by a specified agent or organization.
  • 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_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.
PD Predicate disambiguation batch_69d70d25280c8190b648d7d1958b413a completed April 9, 2026, 2:21 a.m.
PDg Predicate description generation batch_69d7101c96708190808fef73199e8482 completed April 9, 2026, 2:34 a.m.
Created at: April 8, 2026, 9:19 p.m.