Triple

T18704359
Position Surface form Disambiguated ID Type / Status
Subject Herbert Xu E457332 entity
Predicate developsInLanguage P102866 FINISHED
Object C NE NERFINISHED

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: [Herbert Xu, developsInLanguage, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [Herbert Xu, developsInLanguage, C]
  • A. 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.
  • B. 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.
  • C. C
    C is the New York Stock Exchange ticker symbol for Citigroup Inc., a major global financial services and banking corporation.
  • D. C
    C is one of the three central women in Edward Albee’s play "Three Tall Women," representing a younger stage of the protagonist’s life and perspective.
  • E. C
    C is a Copenhagen S-train commuter rail line that runs through central Copenhagen and connects key suburban areas in the metropolitan network.
  • 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: developsInLanguage
Context triple: [Herbert Xu, developsInLanguage, C]
  • A. developedForLanguage
    Indicates that something (such as a tool, system, or resource) was specifically created or adapted to be used with a particular language.
  • B. developedPrimarilyIn
    Indicates that something was mainly created, advanced, or brought into its primary form within a particular context, place, or domain, even if contributions occurred elsewhere.
  • C. developedWith
    Indicates that something was created, built, or produced using a specified tool, technology, method, or collaborator.
  • D. supportsDevelopmentLanguage
    Indicates that one entity provides compatibility with, tools for, or the ability to use a particular programming or development language.
  • E. languageOfImplementation chosen
    Indicates the programming language in which a given software system, component, or algorithm is implemented.
  • F. None of above.

Provenance (3 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671597ac819093dbb53553130f1e completed April 19, 2026, 11:36 p.m.
PD Predicate disambiguation batch_69e478de85088190ba5f005f1d39f587 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:49 a.m.