Triple

T11654543
Position Surface form Disambiguated ID Type / Status
Subject Yeoman E276983 entity
Predicate hasComponent P35 FINISHED
Object Yeoman yo CLI
Yeoman yo CLI is a command-line tool that runs Yeoman generators to scaffold and bootstrap new projects with preconfigured structures and files.
E937602 NE FINISHED

How this triple was built (4 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: Yeoman yo CLI | Statement: [Yeoman, hasComponent, Yeoman yo CLI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeoman yo CLI
Context triple: [Yeoman, hasComponent, Yeoman yo CLI]
  • A. Commander.js
    Commander.js is a popular Node.js library for building command-line interfaces, providing a simple API for parsing arguments and defining commands and options.
  • B. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • C. yarn
    Yarn is a fast, reliable JavaScript package manager that serves as an alternative to npm for managing project dependencies.
  • D. YEM
    YEM is the three-letter ISO 3166-1 alpha-3 country code assigned to Yemen for international identification and data standards.
  • E. YCM
    YCM is the IATA airport code for Niagara District Airport, a regional airport serving the Niagara region in Ontario, Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yeoman yo CLI
Triple: [Yeoman, hasComponent, Yeoman yo CLI]
Generated description
Yeoman yo CLI is a command-line tool that runs Yeoman generators to scaffold and bootstrap new projects with preconfigured structures and files.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yeoman yo CLI
Target entity description: Yeoman yo CLI is a command-line tool that runs Yeoman generators to scaffold and bootstrap new projects with preconfigured structures and files.
  • A. Commander.js
    Commander.js is a popular Node.js library for building command-line interfaces, providing a simple API for parsing arguments and defining commands and options.
  • B. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • C. yarn
    Yarn is a fast, reliable JavaScript package manager that serves as an alternative to npm for managing project dependencies.
  • D. YEM
    YEM is the three-letter ISO 3166-1 alpha-3 country code assigned to Yemen for international identification and data standards.
  • E. YCM
    YCM is the IATA airport code for Niagara District Airport, a regional airport serving the Niagara region in Ontario, Canada.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3cee010819089cffdbefe5a6efb completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee88166900819095063f045be44bed completed April 26, 2026, 9:48 p.m.
NEDg Description generation batch_69eeb315ebc48190a0f6ff0dc8afd462 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd954b348190bf2f3ad66acbf1b7 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.