Triple
T17560553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PostgreSQL function manager |
E427685
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object |
PostgreSQL planner
The PostgreSQL planner is the query optimization component of PostgreSQL that transforms parsed SQL statements into efficient execution plans based on statistics and available indexes.
|
E1275603
|
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: PostgreSQL planner | Statement: [PostgreSQL function manager, interactsWith, PostgreSQL planner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PostgreSQL planner Context triple: [PostgreSQL function manager, interactsWith, PostgreSQL planner]
-
A.
Catalyst query optimizer
Catalyst query optimizer is the extensible query optimization framework in Apache Spark that analyzes, rewrites, and optimizes logical and physical query plans to improve performance.
-
B.
“The Design of Postgres”
“The Design of Postgres” is a foundational technical paper/book in database systems that presents the architecture, design principles, and innovations behind the Postgres relational database, authored by Michael Stonebraker.
-
C.
PL/pgSQL
PL/pgSQL is PostgreSQL’s procedural extension of SQL that allows writing stored functions and triggers with control structures like variables, loops, and conditionals.
-
D.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
E.
Soufflé Datalog engine
Soufflé Datalog engine is a high-performance, open-source Datalog compiler and analysis framework widely used for static program analysis and other logic-based data processing tasks.
- 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: PostgreSQL planner Triple: [PostgreSQL function manager, interactsWith, PostgreSQL planner]
Generated description
The PostgreSQL planner is the query optimization component of PostgreSQL that transforms parsed SQL statements into efficient execution plans based on statistics and available indexes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PostgreSQL planner Target entity description: The PostgreSQL planner is the query optimization component of PostgreSQL that transforms parsed SQL statements into efficient execution plans based on statistics and available indexes.
-
A.
Catalyst query optimizer
Catalyst query optimizer is the extensible query optimization framework in Apache Spark that analyzes, rewrites, and optimizes logical and physical query plans to improve performance.
-
B.
“The Design of Postgres”
“The Design of Postgres” is a foundational technical paper/book in database systems that presents the architecture, design principles, and innovations behind the Postgres relational database, authored by Michael Stonebraker.
-
C.
PL/pgSQL
PL/pgSQL is PostgreSQL’s procedural extension of SQL that allows writing stored functions and triggers with control structures like variables, loops, and conditionals.
-
D.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
E.
Soufflé Datalog engine
Soufflé Datalog engine is a high-performance, open-source Datalog compiler and analysis framework widely used for static program analysis and other logic-based data processing tasks.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d29694a8819095351b929cfaf324 |
completed | May 11, 2026, 12:59 p.m. |
| NEDg | Description generation | batch_6a01d4436b448190bff8710eac0ce569 |
completed | May 11, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d49cb9c081908b07b87ec3b2a133 |
completed | May 11, 2026, 1:07 p.m. |
Created at: April 10, 2026, 5:50 a.m.