Triple

T12738986
Position Surface form Disambiguated ID Type / Status
Subject GNU coding standards E304438 entity
Predicate recommendsLanguage P106648 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: [GNU coding standards, recommendsLanguage, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [GNU coding standards, recommendsLanguage, 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 a light rail service designation used by the Los Angeles Metro system for one of its primary rail lines.
  • D. C
    C is the New York Stock Exchange ticker symbol for Citigroup Inc., a major global financial services and banking corporation.
  • E. 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.
  • 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: recommendsLanguage
Context triple: [GNU coding standards, recommendsLanguage, C]
  • A. queryLanguage
    Indicates that an entity uses or is associated with a particular language for formulating and executing queries.
  • B. languagesSpoken
    Indicates that an entity is able to communicate using one or more specified languages.
  • C. possibleLanguage
    Indicates that an entity could plausibly be expressed, interpreted, or communicated in a given language.
  • D. requiredLanguage
    Indicates that a specific language is necessary or must be used for a given entity, action, or interaction.
  • E. typicalLanguages
    Indicates the languages that are commonly or characteristically used, spoken, or associated with a given entity.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8ff57c8190a935b5c9f4bb5aa3 completed May 2, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69d96403957c81909acdee7bdae71696 completed April 10, 2026, 8:56 p.m.
PDg Predicate description generation batch_69d96d87078c819083ea724238992204 completed April 10, 2026, 9:37 p.m.
Created at: April 9, 2026, 5:26 p.m.