Apache Solr
E358079
Apache Solr is an open-source enterprise search platform built on Apache Lucene, widely used for full-text search, faceted navigation, and real-time indexing of large-scale data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Apache Solr canonical | 7 |
How this entity was disambiguated
This entity first appeared as the object of triple T3418865 — 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: Apache Solr Context triple: [Apache Software Foundation, overseesProject, Apache Solr]
-
A.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
B.
Plumtree
Plumtree is a small border town in southwestern Zimbabwe that serves as a key road and rail gateway between Zimbabwe and Botswana.
-
C.
Apache HBase
Apache HBase is a distributed, scalable, NoSQL database designed for real-time read/write access to large datasets, typically running on top of the Hadoop ecosystem.
-
D.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
-
E.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
- 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: Apache Solr Target entity description: Apache Solr is an open-source enterprise search platform built on Apache Lucene, widely used for full-text search, faceted navigation, and real-time indexing of large-scale data.
-
A.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
B.
Plumtree
Plumtree is a small border town in southwestern Zimbabwe that serves as a key road and rail gateway between Zimbabwe and Botswana.
-
C.
Apache HBase
Apache HBase is a distributed, scalable, NoSQL database designed for real-time read/write access to large datasets, typically running on top of the Hadoop ecosystem.
-
D.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
-
E.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
- F. None of above. chosen
Statements (84)
| Predicate | Object |
|---|---|
| instanceOf |
Apache Software Foundation project
ⓘ
enterprise search software ⓘ open-source software ⓘ search platform ⓘ |
| basedOn | Apache Lucene ⓘ |
| developer | Apache Software Foundation ⓘ |
| implements | full-text search ⓘ |
| license | Apache License 2.0 ⓘ |
| programmingLanguage | Java ⓘ |
| repository | https://solr.apache.org/ ⓘ |
| supportsClient |
.NET clients
ⓘ
Java clients ⓘ PHP clients ⓘ Python clients ⓘ Ruby clients ⓘ |
| supportsDataType |
date
ⓘ
geospatial ⓘ multi-valued fields ⓘ numeric ⓘ text ⓘ |
| supportsDeployment |
cloud environments
ⓘ
on-premises ⓘ |
| supportsFeature |
CSV response format
ⓘ
JMX monitoring ⓘ JSON response format ⓘ REST-like HTTP API ⓘ SQL-like interface ⓘ XML response format ⓘ ZooKeeper integration ⓘ admin web UI ⓘ authentication ⓘ authorization ⓘ autoscaling policies ⓘ backup and restore ⓘ clustering via SolrCloud ⓘ collections and shards ⓘ config API ⓘ configurable analyzers per field ⓘ configurable caching ⓘ copy fields ⓘ custom query parsers ⓘ data import handlers ⓘ distributed search ⓘ dynamic fields ⓘ faceted counting ⓘ faceted navigation ⓘ faceted search ⓘ fault tolerance ⓘ filter queries ⓘ geospatial search ⓘ grouping ⓘ high availability ⓘ highlighting ⓘ leader election in SolrCloud ⓘ machine learning integration ⓘ managed schema ⓘ metrics collection ⓘ multi-core setup ⓘ near real-time search ⓘ pluggable analyzers ⓘ plugins and extensions ⓘ real-time indexing ⓘ relevance scoring ⓘ replication ⓘ request handlers ⓘ result ranking ⓘ schema API ⓘ schema-based indexing ⓘ schema-less mode ⓘ security plugins ⓘ sharding ⓘ spell checking ⓘ streaming expressions ⓘ suggesters ⓘ time series analytics ⓘ tokenizers ⓘ update handlers ⓘ update processors ⓘ |
| useCase |
data discovery
ⓘ
e-commerce product search ⓘ enterprise content search ⓘ log analytics ⓘ website search ⓘ |
| usesIndexEngine |
Lucene index
ⓘ
linked to:
Apache Lucene
|
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: Apache Solr Description of subject: Apache Solr is an open-source enterprise search platform built on Apache Lucene, widely used for full-text search, faceted navigation, and real-time indexing of large-scale data.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.