Triple

T14343407
Position Surface form Disambiguated ID Type / Status
Subject ScalaTest E355655 entity
Predicate hasComponent P35 FINISHED
Object scalatest-funspec
scalatest-funspec is a ScalaTest module that provides a behavior-driven development (BDD) style for writing structured, human-readable test specifications in Scala.
 E355655 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: scalatest-funspec | Statement: [ScalaTest, hasComponent, scalatest-funspec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: scalatest-funspec
Context triple: [ScalaTest, hasComponent, scalatest-funspec]
  • A. ScalaTest
    ScalaTest is a popular testing framework for the Scala programming language that supports expressive, flexible unit and integration testing.
  • B. Specs2
    Specs2 is a Scala testing framework that provides a concise, expressive way to write unit, integration, and acceptance tests.
  • C. FunSuite
    FunSuite is a ScalaTest testing style that provides a straightforward, JUnit-like way to define and organize unit tests in Scala.
  • D. FlatSpec
    FlatSpec is a ScalaTest testing style that lets you write unit tests in a flat, specification-like format using descriptive, human-readable sentences.
  • E. AsyncFlatSpec
    AsyncFlatSpec is a ScalaTest testing style that lets you write asynchronous, flat-structured unit tests using a clear, behavior-driven syntax.
  • 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: scalatest-funspec
Triple: [ScalaTest, hasComponent, scalatest-funspec]
Generated description
scalatest-funspec is a ScalaTest module that provides a behavior-driven development (BDD) style for writing structured, human-readable test specifications in Scala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: scalatest-funspec
Target entity description: scalatest-funspec is a ScalaTest module that provides a behavior-driven development (BDD) style for writing structured, human-readable test specifications in Scala.
  • A. ScalaTest chosen
    ScalaTest is a popular testing framework for the Scala programming language that supports expressive, flexible unit and integration testing.
  • B. Specs2
    Specs2 is a Scala testing framework that provides a concise, expressive way to write unit, integration, and acceptance tests.
  • C. FunSuite
    FunSuite is a ScalaTest testing style that provides a straightforward, JUnit-like way to define and organize unit tests in Scala.
  • D. FlatSpec
    FlatSpec is a ScalaTest testing style that lets you write unit tests in a flat, specification-like format using descriptive, human-readable sentences.
  • E. AsyncFlatSpec
    AsyncFlatSpec is a ScalaTest testing style that lets you write asynchronous, flat-structured unit tests using a clear, behavior-driven syntax.
  • F. None of above.

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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e89ed9c8190acdb647ee618e919 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c3f81e881909f742d0442e99dd6 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4d422e1081909dd9759d0733dff2 completed May 8, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69fd4dba394c8190ab1aa601b1acc88e completed May 8, 2026, 2:43 a.m.
Created at: April 10, 2026, 1:14 a.m.