Triple
T9925962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HDFS |
E187921
|
entity |
| Predicate | storesMetadataOn |
P61555
|
FINISHED |
| Object |
NameNode
NameNode is the central master server in Hadoop’s HDFS that manages the filesystem namespace and controls client access to files.
|
E830287
|
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: NameNode | Statement: [HDFS, storesMetadataOn, NameNode]
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.
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: NameNode Triple: [HDFS, storesMetadataOn, NameNode]
Generated description
NameNode is the central master server in Hadoop’s HDFS that manages the filesystem namespace and controls client access to files.
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
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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb599e32c8190ac676fa89c131bb6 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228c23a2c81908fa2cb3a4f90d198 |
completed | April 5, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69d229c0b39081909d2ddb056ddcb7bf |
completed | April 5, 2026, 9:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a4621488190880c3f4e12c1e5d5 |
completed | April 5, 2026, 9:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.