Triple
T4279379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B-tree |
E97112
|
entity |
| Predicate | describedIn |
P519
|
FINISHED |
| Object |
"Organization and Maintenance of Large Ordered Indexes"
"Organization and Maintenance of Large Ordered Indexes" is the seminal 1970 paper by Rudolf Bayer and Edward McCreight that introduced the B-tree data structure for efficient storage and retrieval in large databases and file systems.
|
E97112
|
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: "Organization and Maintenance of Large Ordered Indexes" | Statement: [B-tree, describedIn, "Organization and Maintenance of Large Ordered Indexes"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Organization and Maintenance of Large Ordered Indexes" Context triple: [B-tree, describedIn, "Organization and Maintenance of Large Ordered Indexes"]
-
A.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
B.
INGRES relational database system
INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
-
C.
ACM SIGMOD Symposium on Principles of Database Systems
The ACM SIGMOD Symposium on Principles of Database Systems (PODS) is a leading annual research conference focused on the theoretical foundations and formal aspects of database systems.
-
D.
ACM Transactions on Database Systems
ACM Transactions on Database Systems is a leading peer-reviewed scholarly journal that publishes research on the theory, design, development, and evaluation of database systems and data management technologies.
-
E.
Database System Concepts
Database System Concepts is a widely used foundational textbook in computer science that introduces the principles, design, and implementation of modern database systems.
- 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: "Organization and Maintenance of Large Ordered Indexes" Triple: [B-tree, describedIn, "Organization and Maintenance of Large Ordered Indexes"]
Generated description
"Organization and Maintenance of Large Ordered Indexes" is the seminal 1970 paper by Rudolf Bayer and Edward McCreight that introduced the B-tree data structure for efficient storage and retrieval in large databases and file systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Organization and Maintenance of Large Ordered Indexes" Target entity description: "Organization and Maintenance of Large Ordered Indexes" is the seminal 1970 paper by Rudolf Bayer and Edward McCreight that introduced the B-tree data structure for efficient storage and retrieval in large databases and file systems.
-
A.
B-tree
chosen
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
B.
INGRES relational database system
INGRES relational database system is an influential early relational DBMS developed at the University of California, Berkeley, that pioneered many concepts and technologies later adopted by commercial database systems.
-
C.
ACM SIGMOD Symposium on Principles of Database Systems
The ACM SIGMOD Symposium on Principles of Database Systems (PODS) is a leading annual research conference focused on the theoretical foundations and formal aspects of database systems.
-
D.
ACM Transactions on Database Systems
ACM Transactions on Database Systems is a leading peer-reviewed scholarly journal that publishes research on the theory, design, development, and evaluation of database systems and data management technologies.
-
E.
Database System Concepts
Database System Concepts is a widely used foundational textbook in computer science that introduces the principles, design, and implementation of modern database systems.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7b708b481908c1683741f84ee55 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5bb84ed808190891f2a75296c11c6 |
completed | March 14, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5bc392228819089fe64b55bb572cc |
completed | March 14, 2026, 7:51 p.m. |
Created at: March 12, 2026, 11:07 p.m.