Triple

T14343414
Position Surface form Disambiguated ID Type / Status
Subject ScalaTest E355655 entity
Predicate hasComponent P35 FINISHED
Object scalatest-matchers-core
scalatest-matchers-core is a core ScalaTest module that provides rich, expressive matcher syntax for writing readable and maintainable test assertions in Scala.
E1095036 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-matchers-core | Statement: [ScalaTest, hasComponent, scalatest-matchers-core]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: scalatest-matchers-core
Context triple: [ScalaTest, hasComponent, scalatest-matchers-core]
  • A. Ottestad
    Ottestad is a village in Innlandet county, Norway, situated within Stange municipality just south of the city of Hamar.
  • B. SCAR
    SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
  • C. SCAR
    SCAR is the ICAO airport code for Chacalluta International Airport, which serves the city of Arica in northern Chile.
  • D. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • E. SCAT
    SCAT is the ICAO airport code assigned to Desierto de Atacama Airport in Chile.
  • 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-matchers-core
Triple: [ScalaTest, hasComponent, scalatest-matchers-core]
Generated description
scalatest-matchers-core is a core ScalaTest module that provides rich, expressive matcher syntax for writing readable and maintainable test assertions in Scala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: scalatest-matchers-core
Target entity description: scalatest-matchers-core is a core ScalaTest module that provides rich, expressive matcher syntax for writing readable and maintainable test assertions in Scala.
  • A. Ottestad
    Ottestad is a village in Innlandet county, Norway, situated within Stange municipality just south of the city of Hamar.
  • B. SCAR
    SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
  • C. SCAR
    SCAR is the ICAO airport code for Chacalluta International Airport, which serves the city of Arica in northern Chile.
  • D. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • E. SCAT
    SCAT is the ICAO airport code assigned to Desierto de Atacama Airport in Chile.
  • 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_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.