Triple

T647004
Position Surface form Disambiguated ID Type / Status
Subject US Airways E11262 entity
Predicate ICAOcode P419 FINISHED
Object AWE
AWE is the ICAO airline designator used to identify US Airways in aviation operations and communications.
 E80712 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: AWE | Statement: [US Airways, ICAOcode, AWE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AWE
Context triple: [US Airways, ICAOcode, AWE]
  • A. AAWU
    AAWU, short for the Athletic Association of Western Universities, was a former NCAA athletic conference that served as a predecessor to today’s Pac-12 Conference.
  • B. AEA
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • C. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • D. GAW
    GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
  • E. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • 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: AWE
Triple: [US Airways, ICAOcode, AWE]
Generated description
AWE is the ICAO airline designator used to identify US Airways in aviation operations and communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AWE
Target entity description: AWE is the ICAO airline designator used to identify US Airways in aviation operations and communications.
  • A. AAWU
    AAWU, short for the Athletic Association of Western Universities, was a former NCAA athletic conference that served as a predecessor to today’s Pac-12 Conference.
  • B. AEA
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • C. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • D. GAW
    GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
  • E. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1cb24481909d3b41a56b29dee9 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b5a0c0c81909aa3339d7ba62a0d completed March 2, 2026, 11:58 a.m.
NEDg Description generation batch_69a57dbf6b1c8190981f9d85f721a7db completed March 2, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69a57e2762908190957f71686d107483 completed March 2, 2026, 12:10 p.m.
Created at: March 1, 2026, 7:36 p.m.