Triple
T1647704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ODBC |
E35619
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ODBC |
E35619
|
NE FINISHED |
How this triple was built (2 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: ODBC | Statement: [ODBC, abbreviation, ODBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ODBC Context triple: [ODBC, abbreviation, ODBC]
-
A.
ODBC
chosen
ODBC (Open Database Connectivity) is a standard API that enables applications to access and query data from a wide variety of relational and non-relational database management systems using a common interface.
-
B.
OLE DB
OLE DB is a Microsoft data access API that provides a uniform way for applications to access data from a variety of relational and non-relational data sources.
-
C.
ODBC Driver Manager
ODBC Driver Manager is a software component that coordinates communication between applications using ODBC and the appropriate database-specific ODBC drivers.
-
D.
JDBC
JDBC (Java Database Connectivity) is a Java-based API that enables applications to connect to and interact with relational databases in a standardized way.
-
E.
ADO.NET
ADO.NET is a data access framework in the .NET ecosystem that enables applications to connect to, retrieve, manipulate, and update data from various data sources such as relational databases and XML.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a640ea88190822906da575d5165 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad681db3408190a3b469e319486419 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:29 p.m.