Triple
T9455893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgantown Municipal Airport |
E228012
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KMGW
KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
|
E801022
|
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: KMGW | Statement: [Morgantown Municipal Airport, ICAOcode, KMGW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMGW Context triple: [Morgantown Municipal Airport, ICAOcode, KMGW]
-
A.
KMMG
KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
-
B.
KWMC
KWMC is the ICAO airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
-
C.
KTWF
KTWF is the ICAO airport code for Magic Valley Regional Airport serving the Twin Falls area in Idaho, United States.
-
D.
KRDG
KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
-
E.
KMG
KMG is the IATA airport code for Kunming Changshui International Airport, a major air transport hub serving Kunming in Yunnan Province, China.
- 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: KMGW Triple: [Morgantown Municipal Airport, ICAOcode, KMGW]
Generated description
KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KMGW Target entity description: KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
-
A.
KMMG
KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
-
B.
KWMC
KWMC is the ICAO airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
-
C.
KTWF
KTWF is the ICAO airport code for Magic Valley Regional Airport serving the Twin Falls area in Idaho, United States.
-
D.
KRDG
KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
-
E.
KMG
KMG is the IATA airport code for Kunming Changshui International Airport, a major air transport hub serving Kunming in Yunnan Province, China.
- 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.