NLU
E702301
NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NLU canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7954144 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NLU Context triple: [Felipe Ángeles International Airport, IATAcode, NLU]
-
A.
RMLNLU
RMLNLU is a premier public law university located in Lucknow, Uttar Pradesh, India, offering undergraduate and postgraduate legal education and research programs.
-
B.
Google Natural Language API
Google Natural Language API is a cloud-based service that uses machine learning to analyze and understand text, offering features like sentiment analysis, entity recognition, syntax parsing, and content classification.
-
C.
NLUJAA
NLUJAA is a public law university in Assam, India, specializing in legal education and research.
-
D.
AllenNLP
AllenNLP is an open-source natural language processing research library built on PyTorch, designed to facilitate the development and evaluation of state-of-the-art NLP models.
-
E.
MLU
MLU is the IATA airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NLU Target entity description: NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
-
A.
RMLNLU
RMLNLU is a premier public law university located in Lucknow, Uttar Pradesh, India, offering undergraduate and postgraduate legal education and research programs.
-
B.
Google Natural Language API
Google Natural Language API is a cloud-based service that uses machine learning to analyze and understand text, offering features like sentiment analysis, entity recognition, syntax parsing, and content classification.
-
C.
NLUJAA
NLUJAA is a public law university in Assam, India, specializing in legal education and research.
-
D.
AllenNLP
AllenNLP is an open-source natural language processing research library built on PyTorch, designed to facilitate the development and evaluation of state-of-the-art NLP models.
-
E.
MLU
MLU is the IATA airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
IATA airport code
ⓘ
commercial airport ⓘ international airport ⓘ |
| builtOn | site of former Santa Lucía Air Force Base ⓘ |
| cityServed |
Mexico City
NERFINISHED
ⓘ
Tizayuca NERFINISHED ⓘ Zumpango NERFINISHED ⓘ |
| country | Mexico ⓘ |
| distanceFrom | approximately 45 km north of Mexico City center ⓘ |
| hubFor | Mexicana de Aviación NERFINISHED ⓘ |
| IATA code | NLU NERFINISHED ⓘ |
| ICAO code | MMSM NERFINISHED ⓘ |
| identifies | Felipe Ángeles International Airport NERFINISHED ⓘ |
| locatedIn | Zumpango, State of Mexico, Mexico NERFINISHED ⓘ |
| namedAfter | Felipe Ángeles NERFINISHED ⓘ |
| opened | 2022-03-21 ⓘ |
| operator | Secretariat of National Defense of Mexico NERFINISHED ⓘ |
| owner | Government of Mexico NERFINISHED ⓘ |
| partOf | Mexico City airport system NERFINISHED ⓘ |
| runway |
04C/22C
ⓘ
04L/22R ⓘ 04R/22L ⓘ |
| runwaySurface |
asphalt
ⓘ
concrete ⓘ |
| serves | Mexico City metropolitan area NERFINISHED ⓘ |
| servesAs | secondary airport for Mexico City ⓘ |
| timeZone | UTC−06:00 ⓘ |
| timeZoneDST | UTC−05:00 ⓘ |
| WMO code | 76679 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: NLU Description of subject: NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.