Triple
T4279273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PL/Python |
E97110
|
entity |
| Predicate | mapsToPythonTypeSystem |
P9923
|
FINISHED |
| Object |
PostgreSQL composite types
PostgreSQL composite types are user-defined structured data types that group multiple named fields into a single column value, similar to records or structs in other programming languages.
|
E17669
|
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 composite types | Statement: [PL/Python, mapsToPythonTypeSystem, PostgreSQL composite types]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PostgreSQL composite types Context triple: [PL/Python, mapsToPythonTypeSystem, PostgreSQL composite types]
-
A.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
B.
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.
-
C.
PostGIS
PostGIS is an open-source spatial database extender that adds robust geographic object support and spatial querying capabilities to PostgreSQL.
-
D.
GiST
GiST (Generalized Search Tree) is a flexible indexing framework in PostgreSQL that allows the implementation of a wide variety of custom index types for complex data and queries.
-
E.
ColumnStore
ColumnStore is a columnar storage engine for MariaDB designed to support scalable, high-performance analytics and data warehousing workloads.
- 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 composite types Triple: [PL/Python, mapsToPythonTypeSystem, PostgreSQL composite types]
Generated description
PostgreSQL composite types are user-defined structured data types that group multiple named fields into a single column value, similar to records or structs in other programming languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PostgreSQL composite types Target entity description: PostgreSQL composite types are user-defined structured data types that group multiple named fields into a single column value, similar to records or structs in other programming languages.
-
A.
PostgreSQL
chosen
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
B.
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.
-
C.
PostGIS
PostGIS is an open-source spatial database extender that adds robust geographic object support and spatial querying capabilities to PostgreSQL.
-
D.
GiST
GiST (Generalized Search Tree) is a flexible indexing framework in PostgreSQL that allows the implementation of a wide variety of custom index types for complex data and queries.
-
E.
ColumnStore
ColumnStore is a columnar storage engine for MariaDB designed to support scalable, high-performance analytics and data warehousing workloads.
- 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.