Triple

T11959405
Position Surface form Disambiguated ID Type / Status
Subject CMake E284629 entity
Predicate supportsLanguage P2177 FINISHED
Object Swift
Swift is a modern, high-performance, and type-safe programming language developed by Apple for building applications across its platforms and beyond.
E17651 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: Swift | Statement: [CMake, supportsLanguage, Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swift
Context triple: [CMake, supportsLanguage, Swift]
  • A. Swift
    Swift is a line of thin-and-light consumer and productivity laptops produced by the Taiwanese computer manufacturer Acer.
  • B. Swift
    Swift is OpenStack’s distributed object storage system designed for scalable, fault-tolerant storage and retrieval of large amounts of unstructured data.
  • C. Swift
    Swift is the OpenStack object storage system designed for scalable, redundant, and distributed storage of large amounts of unstructured data.
  • D. Swift
    Swift is a NASA space telescope mission dedicated to detecting and rapidly observing gamma-ray bursts and other high-energy astrophysical phenomena.
  • E. Swift
    Swift is a British single-seat fighter aircraft developed in the early Cold War era, known for its swept-wing design and service with the Royal Air Force.
  • 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: Swift
Triple: [CMake, supportsLanguage, Swift]
Generated description
Swift is a modern, high-performance, and type-safe programming language developed by Apple for building applications across its platforms and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Swift
Target entity description: Swift is a modern, high-performance, and type-safe programming language developed by Apple for building applications across its platforms and beyond.
  • A. Swift chosen
    Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
  • B. Swift
    Swift is a line of thin-and-light consumer and productivity laptops produced by the Taiwanese computer manufacturer Acer.
  • C. Swift
    Swift is the OpenStack object storage system designed for scalable, redundant, and distributed storage of large amounts of unstructured data.
  • D. Swift
    Swift is a British single-seat fighter aircraft developed in the early Cold War era, known for its swept-wing design and service with the Royal Air Force.
  • E. Swift
    Swift is OpenStack’s distributed object storage system designed for scalable, fault-tolerant storage and retrieval of large amounts of unstructured data.
  • F. None of above.

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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.