Triple

T11237568
Position Surface form Disambiguated ID Type / Status
Subject Virgin Express E265982 entity
Predicate ICAOcode P419 FINISHED
Object VEX
VEX is the ICAO airline designator used to identify Virgin Express in aviation operations and communications.
 E913283 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: VEX | Statement: [Virgin Express, ICAOcode, VEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VEX
Context triple: [Virgin Express, ICAOcode, VEX]
  • A. VEX
    VEX is the commonly used acronym for Venus Express, a European Space Agency mission that studied the atmosphere and surface of Venus.
  • B. VEX Robotics
    VEX Robotics is an educational robotics platform and competition program widely used in schools and clubs to teach STEM, engineering, and programming through hands-on robot design and challenges.
  • C. NQC
    NQC (Not Quite C) is a simple C-like programming language commonly used for programming LEGO Mindstorms RCX robots.
  • D. v5
    v5 is a major version of the React Router library that introduced a more declarative, component-based approach to routing in React applications.
  • E. TETRIX robotics system
    TETRIX robotics system is an educational, metal-based robotics platform commonly used in STEM programs and competitions to teach engineering, mechanics, and programming concepts.
  • 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: VEX
Triple: [Virgin Express, ICAOcode, VEX]
Generated description
VEX is the ICAO airline designator used to identify Virgin Express in aviation operations and communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VEX
Target entity description: VEX is the ICAO airline designator used to identify Virgin Express in aviation operations and communications.
  • A. VEX
    VEX is the commonly used acronym for Venus Express, a European Space Agency mission that studied the atmosphere and surface of Venus.
  • B. VEX Robotics
    VEX Robotics is an educational robotics platform and competition program widely used in schools and clubs to teach STEM, engineering, and programming through hands-on robot design and challenges.
  • C. NQC
    NQC (Not Quite C) is a simple C-like programming language commonly used for programming LEGO Mindstorms RCX robots.
  • D. v5
    v5 is a major version of the React Router library that introduced a more declarative, component-based approach to routing in React applications.
  • E. TETRIX robotics system
    TETRIX robotics system is an educational, metal-based robotics platform commonly used in STEM programs and competitions to teach engineering, mechanics, and programming concepts.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6e9390819085d10635cb039f85 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12dd658819085c25d3edac2d66c completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3e05b488190bf2e3810ba2f250e completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.