Triple

T9455892
Position Surface form Disambiguated ID Type / Status
Subject Morgantown Municipal Airport E228012 entity
Predicate IATAcode P418 FINISHED
Object MGW
MGW is the IATA airport code for Morgantown Municipal Airport, a regional airport serving Morgantown, West Virginia.
 E801021 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: MGW | Statement: [Morgantown Municipal Airport, IATAcode, MGW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MGW
Context triple: [Morgantown Municipal Airport, IATAcode, MGW]
  • A. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • B. MGY
    MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
  • C. MCWL
    MCWL is the U.S. Marine Corps Warfighting Laboratory, responsible for developing, testing, and integrating innovative concepts and technologies to enhance future Marine Corps combat capabilities.
  • D. WGW
    WGW is the National Rail station code for Wigan Wallgate railway station in Greater Manchester, England.
  • E. WGF
    WGF is the acronym for the World Golf Foundation, a nonprofit organization that promotes the growth and global development of the game of golf.
  • 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: MGW
Triple: [Morgantown Municipal Airport, IATAcode, MGW]
Generated description
MGW is the IATA airport code for Morgantown Municipal Airport, a regional airport serving Morgantown, West Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MGW
Target entity description: MGW is the IATA airport code for Morgantown Municipal Airport, a regional airport serving Morgantown, West Virginia.
  • A. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • B. MGY
    MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
  • C. MCWL
    MCWL is the U.S. Marine Corps Warfighting Laboratory, responsible for developing, testing, and integrating innovative concepts and technologies to enhance future Marine Corps combat capabilities.
  • D. WGW
    WGW is the National Rail station code for Wigan Wallgate railway station in Greater Manchester, England.
  • E. WGF
    WGF is the acronym for the World Golf Foundation, a nonprofit organization that promotes the growth and global development of the game of golf.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f8f7e1481909318e473ab4d6460 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122849fec81908a8e7363d6bab4ed completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d123f710988190a876fab3a1e226d3 completed April 4, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69d1252cd7508190a7d11fce51960290 completed April 4, 2026, 2:50 p.m.
Created at: March 30, 2026, 7:52 p.m.