Triple

T7033354
Position Surface form Disambiguated ID Type / Status
Subject FLAC E163320 entity
Predicate hasReferenceImplementationLanguage P46793 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: [FLAC, hasReferenceImplementationLanguage, C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C
Context triple: [FLAC, hasReferenceImplementationLanguage, 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: hasReferenceImplementationLanguage
Context triple: [FLAC, hasReferenceImplementationLanguage, C]
  • A. implementedInLanguage chosen
    Indicates that a piece of software or code is written using a particular programming language.
  • B. hasSubstrateLanguage
    Indicates a relationship where one language serves as the underlying substrate that has influenced or shaped another language.
  • C. hasLanguageType
    Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
  • D. hasStandardImplementation
    Indicates that an entity has a defined, commonly accepted implementation that follows an established standard or specification.
  • E. hasProtoLanguage
    Indicates that a language or language family originates from, or is derived from, a specified proto-language.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e458ad9c81908c3f492b317ce291 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7759c8e408190a7d457e77a44ee26 completed March 28, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69c6e1b9a2488190aea351d96afa5a12 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:36 p.m.