Triple

T4325171
Position Surface form Disambiguated ID Type / Status
Subject Python standard library E96619 entity
Predicate includesModule P49317 FINISHED
Object json E39004 NE FINISHED

How this triple was built (2 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: [Python standard library, includesModule, json]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: json
Context triple: [Python standard library, includesModule, 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. HJSON
    HJSON is a human-friendly extension of JSON that relaxes its strict syntax to allow comments, unquoted keys, and other conveniences for easier configuration editing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3563eab24819088add9180af2ce3c completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5d094f5fc819083eddc234f46f6a1 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.