Triple
T7984797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Spark |
E185661
|
entity |
| Predicate | coreAbstraction |
P533
|
FINISHED |
| Object |
Resilient Distributed Dataset
Resilient Distributed Dataset is Apache Spark’s fundamental fault-tolerant, distributed collection of data that enables parallel processing across a cluster.
|
E185661
|
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: Resilient Distributed Dataset | Statement: [Apache Spark, coreAbstraction, Resilient Distributed Dataset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Resilient Distributed Dataset Context triple: [Apache Spark, coreAbstraction, Resilient Distributed Dataset]
-
A.
RDD
RDD is the three-letter IATA airport code for Redding Municipal Airport in Redding, California.
-
B.
Spark
"Spark" is a virtuosic jazz fusion composition by Japanese pianist Hiromi Uehara, showcasing her signature blend of technical brilliance and energetic, genre-blurring style.
-
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.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
E.
Apache Storm
Apache Storm is a distributed real-time computation system designed for processing large streams of data with low latency and high fault tolerance.
- 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: Resilient Distributed Dataset Triple: [Apache Spark, coreAbstraction, Resilient Distributed Dataset]
Generated description
Resilient Distributed Dataset is Apache Spark’s fundamental fault-tolerant, distributed collection of data that enables parallel processing across a cluster.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Resilient Distributed Dataset Target entity description: Resilient Distributed Dataset is Apache Spark’s fundamental fault-tolerant, distributed collection of data that enables parallel processing across a cluster.
-
A.
RDD
RDD is the three-letter IATA airport code for Redding Municipal Airport in Redding, California.
-
B.
Spark
"Spark" is a virtuosic jazz fusion composition by Japanese pianist Hiromi Uehara, showcasing her signature blend of technical brilliance and energetic, genre-blurring style.
-
C.
Apache Spark
chosen
Apache Spark is an open-source, distributed data processing engine designed for large-scale data analytics, machine learning, and stream processing.
-
D.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
E.
Apache Storm
Apache Storm is a distributed real-time computation system designed for processing large streams of data with low latency and high fault tolerance.
- 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_69cbe0e0b2748190930c22c6157d1b07 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43e47048190a0044477f88de5d0 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc0d60254c819087d1de7ca6ea554b |
completed | March 31, 2026, 6:07 p.m. |
Created at: March 30, 2026, 5:15 p.m.