Triple
T7984788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Spark |
E185661
|
entity |
| Predicate | originatedAt |
P1041
|
FINISHED |
| Object |
UC Berkeley AMPLab
UC Berkeley AMPLab was a research lab at the University of California, Berkeley, known for pioneering large-scale data analytics and cluster computing systems that led to influential open-source projects like Apache Spark.
|
E705277
|
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: UC Berkeley AMPLab | Statement: [Apache Spark, originatedAt, UC Berkeley AMPLab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UC Berkeley AMPLab Context triple: [Apache Spark, originatedAt, UC Berkeley AMPLab]
-
A.
UC Berkeley ASPIRE Lab
UC Berkeley ASPIRE Lab is a research group at the University of California, Berkeley focused on advancing computer architecture and systems, particularly open and energy-efficient computing platforms.
-
B.
UC Berkeley Parallel Computing Laboratory
The UC Berkeley Parallel Computing Laboratory is a research center at the University of California, Berkeley focused on advancing parallel computer architecture, programming models, and open instruction set technologies such as RISC-V.
-
C.
Berkeley Institute for Data Science
The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
-
D.
Department of Electrical Engineering and Computer Sciences, UC Berkeley
The Department of Electrical Engineering and Computer Sciences at UC Berkeley is a leading academic department renowned for its pioneering research and top-ranked programs in electrical engineering, computer science, and related fields.
-
E.
Stanford Computer Science Department
The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
- 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: UC Berkeley AMPLab Triple: [Apache Spark, originatedAt, UC Berkeley AMPLab]
Generated description
UC Berkeley AMPLab was a research lab at the University of California, Berkeley, known for pioneering large-scale data analytics and cluster computing systems that led to influential open-source projects like Apache Spark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UC Berkeley AMPLab Target entity description: UC Berkeley AMPLab was a research lab at the University of California, Berkeley, known for pioneering large-scale data analytics and cluster computing systems that led to influential open-source projects like Apache Spark.
-
A.
UC Berkeley ASPIRE Lab
UC Berkeley ASPIRE Lab is a research group at the University of California, Berkeley focused on advancing computer architecture and systems, particularly open and energy-efficient computing platforms.
-
B.
UC Berkeley Parallel Computing Laboratory
The UC Berkeley Parallel Computing Laboratory is a research center at the University of California, Berkeley focused on advancing parallel computer architecture, programming models, and open instruction set technologies such as RISC-V.
-
C.
Berkeley Institute for Data Science
The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
-
D.
Department of Electrical Engineering and Computer Sciences, UC Berkeley
The Department of Electrical Engineering and Computer Sciences at UC Berkeley is a leading academic department renowned for its pioneering research and top-ranked programs in electrical engineering, computer science, and related fields.
-
E.
Stanford Computer Science Department
The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
- 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_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_69cc46c221848190848c7e017e532a16 |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc480d2f40819085046a1d0c9d05e0 |
completed | March 31, 2026, 10:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.