Triple

T17675832
Position Surface form Disambiguated ID Type / Status
Subject RSpec Story Runner E440640 entity
Predicate partOf P40 FINISHED
Object RSpec NE NERFINISHED

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: RSpec | Statement: [RSpec Story Runner, partOf, RSpec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSpec
Context triple: [RSpec Story Runner, partOf, RSpec]
  • A. RSpec chosen
    RSpec is a popular behavior-driven development (BDD) testing framework for the Ruby programming language, known for its readable, expressive syntax.
  • B. RoR
    RoR is a popular open-source web application framework written in Ruby that emphasizes convention over configuration and rapid development.
  • C. Ruby on Rails
    Ruby on Rails is a popular open-source web application framework that emphasizes convention over configuration and rapid development for building database-backed applications.
  • D. Ruby Association
    Ruby Association is a non-profit organization dedicated to supporting and promoting the development, standardization, and global adoption of the Ruby programming language and its community.
  • E. Spec#
    Spec# is a formally specified, contract-based extension of the C# programming language designed to support program verification and static checking of code correctness.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6cca54819094ea0bed1517724e completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.