NameNode
E830287
NameNode is the central master server in Hadoop’s HDFS that manages the filesystem namespace and controls client access to files.
All labels observed (4)
| Label | Occurrences |
|---|---|
| NameNode canonical | 6 |
| Hadoop NameNode | 1 |
| NameNode RPC server | 1 |
| NameNode fsimage | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9925962 — 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: NameNode Context triple: [HDFS, storesMetadataOn, NameNode]
-
A.
Secondary NameNode
The Secondary NameNode is an auxiliary HDFS service that periodically checkpoints and merges filesystem metadata to help keep the primary NameNode’s namespace image compact and manageable.
-
B.
HDFS
HDFS (Hadoop Distributed File System) is a fault-tolerant, distributed file system designed to store and manage large volumes of data across clusters of commodity hardware.
-
C.
YARN
YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
-
D.
Google File System
Google File System is a distributed file system developed by Google to reliably store and process massive amounts of data across clusters of commodity hardware.
-
E.
ApplicationMaster
ApplicationMaster is the per-application coordinator in Hadoop YARN responsible for managing an application's lifecycle, resource requests, and task execution.
- 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: NameNode Target entity description: NameNode is the central master server in Hadoop’s HDFS that manages the filesystem namespace and controls client access to files.
-
A.
Secondary NameNode
The Secondary NameNode is an auxiliary HDFS service that periodically checkpoints and merges filesystem metadata to help keep the primary NameNode’s namespace image compact and manageable.
-
B.
HDFS
HDFS (Hadoop Distributed File System) is a fault-tolerant, distributed file system designed to store and manage large volumes of data across clusters of commodity hardware.
-
C.
YARN
YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
-
D.
Google File System
Google File System is a distributed file system developed by Google to reliably store and process massive amounts of data across clusters of commodity hardware.
-
E.
ApplicationMaster
ApplicationMaster is the per-application coordinator in Hadoop YARN responsible for managing an application's lifecycle, resource requests, and task execution.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
HDFS component
ⓘ
master server ⓘ metadata server ⓘ |
| belongsTo | HDFS master-slave architecture ⓘ |
| canBe |
active NameNode
ⓘ
standby NameNode ⓘ |
| canStoreMetadataOn |
NFS shared storage
ⓘ
Quorum Journal Manager ⓘ local filesystem ⓘ |
| communicatesWith | DataNode ⓘ |
| controls | client access to files ⓘ |
| coordinates |
block replication
ⓘ
file creation ⓘ file deletion ⓘ file renaming ⓘ |
| detects | DataNode failures ⓘ |
| enforces |
HDFS replication factor
ⓘ
file system permissions ⓘ |
| exposes |
RPC interface to clients
ⓘ
web UI ⓘ |
| introducedIn |
Hadoop 0.x series
ⓘ
linked to:
Hadoop
|
| is | single point of control in HDFS ⓘ |
| isImplementedIn | Java ⓘ |
| maintains | in-memory representation of namespace ⓘ |
| manages | HDFS filesystem namespace ⓘ |
| monitors | DataNode heartbeats ⓘ |
| partOf |
Apache Hadoop
ⓘ
linked to:
Hadoop
Hadoop Distributed File System ⓘ
linked to:
HDFS
|
| persistsChangesIn | edit log ⓘ |
| persistsMetadataIn | fsimage ⓘ |
| requires | large heap memory ⓘ |
| runsOn | dedicated server ⓘ |
| schedules |
block deletion
ⓘ
block replication balancing ⓘ |
| stores |
HDFS metadata
ⓘ
block locations ⓘ directory hierarchy ⓘ file permissions ⓘ file-to-block mappings ⓘ |
| supports |
federation of multiple NameNodes
ⓘ
high availability configuration ⓘ |
| triggers | block re-replication on failure ⓘ |
| uses |
checkpointing via CheckpointNode
ⓘ
checkpointing via Secondary NameNode (legacy) ⓘ edit log ⓘ fsimage ⓘ |
| wasOriginally | single point of failure ⓘ |
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: NameNode Description of subject: NameNode is the central master server in Hadoop’s HDFS that manages the filesystem namespace and controls client access to files.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: NameNode
linked to: NameNode
linked to: NameNode