Triple
T13425275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Databricks |
E313462
|
entity |
| Predicate | provides |
P490
|
FINISHED |
| Object |
Delta Lake storage layer
Delta Lake storage layer is an open-source data storage framework that brings ACID transactions, schema enforcement, and reliability to data lakes, particularly in big data and analytics environments.
|
E1038749
|
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: Delta Lake storage layer | Statement: [Databricks, provides, Delta Lake storage layer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delta Lake storage layer Context triple: [Databricks, provides, Delta Lake storage layer]
-
A.
Apache Parquet
Apache Parquet is a columnar storage file format optimized for efficient data compression and query performance in big data processing frameworks such as Apache Hadoop and Apache Spark.
-
B.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
C.
Azure Data Lake Storage
Azure Data Lake Storage is a scalable, secure cloud-based data lake service from Microsoft designed for big data analytics and enterprise data warehousing workloads.
-
D.
ColumnStore
ColumnStore is a columnar storage engine for MariaDB designed to support scalable, high-performance analytics and data warehousing workloads.
-
E.
Dask-cuDF
Dask-cuDF is a RAPIDS library that enables distributed, GPU-accelerated DataFrame processing by integrating cuDF with Dask for scalable data analytics.
- 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: Delta Lake storage layer Triple: [Databricks, provides, Delta Lake storage layer]
Generated description
Delta Lake storage layer is an open-source data storage framework that brings ACID transactions, schema enforcement, and reliability to data lakes, particularly in big data and analytics environments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delta Lake storage layer Target entity description: Delta Lake storage layer is an open-source data storage framework that brings ACID transactions, schema enforcement, and reliability to data lakes, particularly in big data and analytics environments.
-
A.
Apache Parquet
Apache Parquet is a columnar storage file format optimized for efficient data compression and query performance in big data processing frameworks such as Apache Hadoop and Apache Spark.
-
B.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
C.
Azure Data Lake Storage
Azure Data Lake Storage is a scalable, secure cloud-based data lake service from Microsoft designed for big data analytics and enterprise data warehousing workloads.
-
D.
ColumnStore
ColumnStore is a columnar storage engine for MariaDB designed to support scalable, high-performance analytics and data warehousing workloads.
-
E.
Dask-cuDF
Dask-cuDF is a RAPIDS library that enables distributed, GPU-accelerated DataFrame processing by integrating cuDF with Dask for scalable data analytics.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed066408190a416880affd8416e |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308673488190a64f4b205899605b |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7316101e48190b3ec59a4376a0562 |
completed | May 3, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731f8e98c8190becfad8e3a371484 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 9:40 p.m.