Triple

T3418865
Position Surface form Disambiguated ID Type / Status
Subject Apache Software Foundation E72070 entity
Predicate overseesProject P11213 FINISHED
Object Apache Solr
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.
E358079 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: Apache Solr | Statement: [Apache Software Foundation, overseesProject, Apache Solr]
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.
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: Apache Solr
Triple: [Apache Software Foundation, overseesProject, Apache Solr]
Generated 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.
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

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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92df1e48190bbf22a47e44579f1 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546e710c8190a6b9523b77f6c893 completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b3584f321c8190841a96be2a6713e1 completed March 13, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_69b3591b7bc88190825dcd306541ae03 completed March 13, 2026, 12:23 a.m.
Created at: March 8, 2026, 3:15 p.m.