ADMM
E585595
ADMM is a regional forum that brings together the defence ministers of ASEAN member states to discuss and coordinate security and defence cooperation in Southeast Asia.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ADMM canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6330158 — 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: ADMM Context triple: [ASEAN Defence Ministers’ Meeting, shortName, ADMM]
-
A.
AdaDelta
AdaDelta is an adaptive learning rate optimization algorithm for training neural networks that improves upon methods like RMSProp by eliminating the need to manually set a global learning rate.
-
B.
Adam: A Method for Stochastic Optimization
"Adam: A Method for Stochastic Optimization" is a highly influential machine learning paper that introduces the Adam optimizer, a widely used adaptive gradient-based optimization algorithm for training deep neural networks.
-
C.
Automatic Adam
Automatic Adam is the nickname of Adam Vinatieri, a legendary NFL placekicker renowned for his clutch, game-winning field goals in high-pressure situations.
-
D.
AdaGrad
AdaGrad is an adaptive gradient descent optimization algorithm that adjusts learning rates for individual parameters based on their historical gradients, often improving convergence in sparse settings.
-
E.
Convex Optimization
Convex Optimization is a widely used graduate-level textbook that systematically develops the theory, algorithms, and applications of convex optimization problems in engineering, statistics, and applied mathematics.
- 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: ADMM Target entity description: ADMM is a regional forum that brings together the defence ministers of ASEAN member states to discuss and coordinate security and defence cooperation in Southeast Asia.
-
A.
AdaDelta
AdaDelta is an adaptive learning rate optimization algorithm for training neural networks that improves upon methods like RMSProp by eliminating the need to manually set a global learning rate.
-
B.
Adam: A Method for Stochastic Optimization
"Adam: A Method for Stochastic Optimization" is a highly influential machine learning paper that introduces the Adam optimizer, a widely used adaptive gradient-based optimization algorithm for training deep neural networks.
-
C.
Automatic Adam
Automatic Adam is the nickname of Adam Vinatieri, a legendary NFL placekicker renowned for his clutch, game-winning field goals in high-pressure situations.
-
D.
AdaGrad
AdaGrad is an adaptive gradient descent optimization algorithm that adjusts learning rates for individual parameters based on their historical gradients, often improving convergence in sparse settings.
-
E.
Convex Optimization
Convex Optimization is a widely used graduate-level textbook that systematically develops the theory, algorithms, and applications of convex optimization problems in engineering, statistics, and applied mathematics.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
defence ministers' meeting
ⓘ
regional security forum ⓘ |
| acronymFor |
ASEAN Defence Ministers' Meeting
ⓘ
linked to:
ASEAN Defence Ministers’ Meeting
|
| addressesIssue |
counter-terrorism
ⓘ
humanitarian assistance and disaster relief ⓘ maritime security ⓘ peacekeeping operations ⓘ |
| affiliatedWith | ASEAN Political-Security Community ⓘ |
| aimsTo |
address non-traditional security threats
ⓘ
enhance interoperability among ASEAN armed forces ⓘ promote mutual trust among ASEAN defence establishments ⓘ |
| cooperationType | multilateral defence cooperation ⓘ |
| decisionMakingMode | consensus-based ⓘ |
| focusArea |
confidence-building measures
ⓘ
defence cooperation ⓘ regional security architecture ⓘ security cooperation ⓘ |
| fullName |
ASEAN Defence Ministers' Meeting
ⓘ
linked to:
ASEAN Defence Ministers’ Meeting
|
| geopoliticalScope |
ASEAN
ⓘ
linked to:
Association of Southeast Asian Nations
Southeast Asia ⓘ |
| hasDialogueMechanism | yes ⓘ |
| hasMember |
ASEAN member states
ⓘ
Brunei Darussalam ⓘ Cambodia ⓘ Indonesia ⓘ Lao PDR ⓘ
linked to:
Laos
Malaysia ⓘ Myanmar ⓘ Philippines ⓘ Singapore ⓘ Thailand ⓘ Viet Nam ⓘ |
| languageUsed | English ⓘ |
| meetsAtLevel | ministerial level ⓘ |
| meetsRegularly | yes ⓘ |
| organizedBy | Association of Southeast Asian Nations ⓘ |
| primaryParticipants | defence ministers of ASEAN member states ⓘ |
| purpose |
to coordinate defence cooperation among ASEAN states
ⓘ
to discuss regional security issues ⓘ to strengthen regional peace and stability ⓘ |
| regionServed | Southeast Asia ⓘ |
| sector |
defence
ⓘ
security ⓘ |
| shortName |
ASEAN Defence Ministers' Meeting
ⓘ
linked to:
ASEAN Defence Ministers’ Meeting
|
| typeOfCooperation | intergovernmental forum ⓘ |
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: ADMM Description of subject: ADMM is a regional forum that brings together the defence ministers of ASEAN member states to discuss and coordinate security and defence cooperation in Southeast Asia.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.