Triple

T4275675
Position Surface form Disambiguated ID Type / Status
Subject Swift Standard Library E97042 entity
Predicate includesType P121 FINISHED
Object Bool
Bool is Swift’s built-in Boolean type used to represent truth values in conditional logic and control flow.
E427887 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: Bool | Statement: [Swift Standard Library, includesType, Bool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bool
Context triple: [Swift Standard Library, includesType, Bool]
  • A. Binarowa
    Binarowa is a village in southern Poland known for its historic wooden architecture and cultural heritage, including the UNESCO-listed St. Michael the Archangel Church.
  • B. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • C. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • D. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • E. Bo
    Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
  • 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: Bool
Triple: [Swift Standard Library, includesType, Bool]
Generated description
Bool is Swift’s built-in Boolean type used to represent truth values in conditional logic and control flow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bool
Target entity description: Bool is Swift’s built-in Boolean type used to represent truth values in conditional logic and control flow.
  • A. Binarowa
    Binarowa is a village in southern Poland known for its historic wooden architecture and cultural heritage, including the UNESCO-listed St. Michael the Archangel Church.
  • B. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • C. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • D. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • E. Bo
    Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501c35688190a7d15d904f15f968 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b0b2ec819090ccf042917ae207 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b8ac37c88190ad2c6a8358e17554 completed March 14, 2026, 7:36 p.m.
NED2 Entity disambiguation (via description) batch_69b5b92eec8c81908c114238af39450f completed March 14, 2026, 7:38 p.m.
Created at: March 12, 2026, 11:07 p.m.