Triple
T12682791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid SQL |
E302988
|
entity |
| Predicate | supportsDatabasePlatform |
P5090
|
FINISHED |
| Object | SAP Sybase ASE |
E996118
|
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: SAP Sybase ASE | Statement: [Rapid SQL, supportsDatabasePlatform, SAP Sybase ASE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAP Sybase ASE Context triple: [Rapid SQL, supportsDatabasePlatform, SAP Sybase ASE]
-
A.
Sybase
Sybase is a pioneering enterprise software company best known for its relational database management systems and data management solutions, later acquired by SAP.
-
B.
Adaptive Server Enterprise
chosen
Adaptive Server Enterprise is Sybase's flagship relational database management system designed for high-performance, enterprise-level transaction processing and data management.
-
C.
SAP MaxDB
SAP MaxDB is a relational database management system developed by SAP, commonly used for enterprise applications and SAP solutions.
-
D.
SQL Anywhere
SQL Anywhere is a relational database management system designed for embedded, mobile, and small to mid-sized server environments, originally developed by Sybase.
-
E.
Informix
Informix is a relational database management system originally developed by Informix Corporation and now owned by IBM, known for its high performance and reliability in OLTP and embedded database applications.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b8a79488190aaf95d4f2e20a7bc |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:21 p.m.