Triple
T7985627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Hive |
E185675
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Apache Hadoop ecosystem
The Apache Hadoop ecosystem is a collection of open-source frameworks and tools for distributed storage and large-scale data processing on clusters of commodity hardware.
|
E35621
|
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 Hadoop ecosystem | Statement: [Apache Hive, partOf, Apache Hadoop ecosystem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apache Hadoop ecosystem Context triple: [Apache Hive, partOf, Apache Hadoop ecosystem]
-
A.
Apache ecosystem
The Apache ecosystem is a broad collection of open-source software projects under the Apache Software Foundation that provide scalable, enterprise-grade tools for web servers, big data processing, machine learning, and more.
-
B.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
C.
Apache Spark
Apache Spark is an open-source, distributed data processing engine designed for large-scale data analytics, machine learning, and stream processing.
-
D.
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.
-
E.
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.
- 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 Hadoop ecosystem Triple: [Apache Hive, partOf, Apache Hadoop ecosystem]
Generated description
The Apache Hadoop ecosystem is a collection of open-source frameworks and tools for distributed storage and large-scale data processing on clusters of commodity hardware.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apache Hadoop ecosystem Target entity description: The Apache Hadoop ecosystem is a collection of open-source frameworks and tools for distributed storage and large-scale data processing on clusters of commodity hardware.
-
A.
Apache ecosystem
The Apache ecosystem is a broad collection of open-source software projects under the Apache Software Foundation that provide scalable, enterprise-grade tools for web servers, big data processing, machine learning, and more.
-
B.
Hadoop
chosen
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
C.
Apache Spark
Apache Spark is an open-source, distributed data processing engine designed for large-scale data analytics, machine learning, and stream processing.
-
D.
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.
-
E.
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.
- F. None of above.
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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4a55b881909a96133e56c0dffa |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63b96ed48190b752865ef3855e46 |
completed | April 1, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_69cc64bd6a088190b77e2709c76579e4 |
completed | April 1, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc66b0e1548190840e4335ff2b130f |
completed | April 1, 2026, 12:28 a.m. |
Created at: March 30, 2026, 5:15 p.m.