Triple

T2629427
Position Surface form Disambiguated ID Type / Status
Subject OpenACC E59597 entity
Predicate typicalLanguages P42338 FINISHED
Object C E9269 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: C | Statement: [OpenACC, typicalLanguages, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [OpenACC, typicalLanguages, C]
  • A. C
    C is a local service on the New York City Subway that runs along the Eighth Avenue Line in Manhattan and continues through Brooklyn.
  • B. C chosen
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • C. CPP
    CPP is a Canadian government-run public pension program that provides retirement, disability, and survivor benefits to eligible contributors.
  • D. CPP
    CPP is a public polytechnic university in Pomona, California, known for its hands-on, learn-by-doing educational approach.
  • E. .cc
    .cc is the country code top-level domain (ccTLD) assigned to the Cocos (Keeling) Islands, often marketed globally for a variety of commercial and creative uses.
  • 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: typicalLanguages
Context triple: [OpenACC, typicalLanguages, C]
  • A. typicalLanguageOfReadings
    Indicates the language that is most commonly used for readings or interpretations associated with a given entity.
  • B. languagesSpoken
    Indicates that an entity is able to communicate using one or more specified languages.
  • C. isCulturalLanguageOf
    Indicates that a language serves as a primary medium of cultural expression, identity, and heritage for a particular group, community, or region.
  • D. isWidelySpokenIn
    Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
  • E. isWorkingLanguageOf
    Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a44a348190b8b49b37418dd94b completed March 10, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69abd810d7f481908e81c305772c4c14 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abdb0bf9b881908b239c1310c7bbf3 completed March 7, 2026, 8 a.m.
Created at: March 6, 2026, 9:50 p.m.