Triple

T17598571
Position Surface form Disambiguated ID Type / Status
Subject Pipfile.lock E428635 entity
Predicate writtenInFormat P102437 FINISHED
Object JSON 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: JSON | Statement: [Pipfile.lock, writtenInFormat, JSON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JSON
Context triple: [Pipfile.lock, writtenInFormat, JSON]
  • A. JSON chosen
    JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format widely used for transmitting structured data in web APIs and configuration files.
  • B. JSON5
    JSON5 is an extension of the JSON data format that adds more human-friendly features like comments, trailing commas, and unquoted object keys while remaining largely compatible with standard JSON.
  • C. JSON API
    JSON API is a standardized specification for building JSON-based RESTful APIs that defines how clients should request and modify resources in a consistent, structured format.
  • D. Jakarta JSON Processing
    Jakarta JSON Processing is a Jakarta EE specification that defines a standard API for parsing, generating, transforming, and querying JSON data in Java applications.
  • E. JSONiq
    JSONiq is a query and processing language designed specifically for JSON data, extending concepts from XQuery to work with hierarchical and semi-structured information.
  • 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: writtenInFormat
Context triple: [Pipfile.lock, writtenInFormat, JSON]
  • A. writtenInForm
    Indicates that something is expressed, recorded, or composed using a particular format, style, or structural form.
  • B. writtenIn
    Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
  • C. presentedInFormat chosen
    Indicates that something is expressed, delivered, or made available using a particular format or representation.
  • D. writtenForm
    Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
  • E. willWrittenIn
    Indicates that a legal will was authored, drafted, or formally written in a specified location or jurisdiction.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c474e5481909d2736241b592dab completed April 19, 2026, 5:46 a.m.
PD Predicate disambiguation batch_69e3b4fff0348190b899a32da537eaca completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:51 a.m.