Triple
T4442628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby on Rails |
E96207
|
entity |
| Predicate | includesComponent |
P1393
|
FINISHED |
| Object | Active Record |
E440627
|
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: Active Record | Statement: [Ruby on Rails, includesComponent, Active Record]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Active Record Context triple: [Ruby on Rails, includesComponent, Active Record]
-
A.
Active Record pattern
chosen
The Active Record pattern is a software design pattern in which objects wrap database rows, combining data access and business logic within the same class.
-
B.
RSpec
RSpec is a popular behavior-driven development (BDD) testing framework for the Ruby programming language, known for its readable, expressive syntax.
-
C.
DC ORM
DC ORM is the abbreviated name for the District of Columbia Office of Risk Management, the agency responsible for managing risk, insurance, and related claims for the D.C. government.
-
D.
Active Storage
Active Storage is a Ruby on Rails framework component that handles file uploads and attachment management by integrating application models with various cloud and local storage services.
-
E.
SQLAlchemy
SQLAlchemy is a powerful Python SQL toolkit and Object-Relational Mapping (ORM) library that provides a high-level, flexible interface for working with relational databases.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aef21c819088f168a23f1933a6 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6281264f08190942d2043495c89d5 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:32 p.m.