Triple

T1935815
Position Surface form Disambiguated ID Type / Status
Subject Hypervisor framework E41440 entity
Predicate languageBinding P11734 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: [Hypervisor framework, languageBinding, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [Hypervisor framework, languageBinding, 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: languageBinding
Context triple: [Hypervisor framework, languageBinding, C]
  • A. languageName
    Indicates the specific name assigned to a language in the relationship.
  • B. languageAssociation
    Indicates an association or relationship between entities based on a language they use, represent, or are linked to.
  • C. primaryLanguageBinding
    Indicates that one language or language-specific implementation is designated as the main or default binding for a given resource, interface, or functionality.
  • D. languageProvision chosen
    Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
  • E. languageDesigned
    Indicates that one entity created or developed the language used or associated with another entity.
  • F. None of above.

Provenance (4 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69abaff07cf88190b4883c5f17f90abd completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.