Triple
T17587604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Actian |
E428364
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Actian Enterprise Database |
—
|
NE NERFINISHED |
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: Actian Enterprise Database | Statement: [Actian, product, Actian Enterprise Database]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Actian Enterprise Database Context triple: [Actian, product, Actian Enterprise Database]
-
A.
Actian
chosen
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
B.
iAnywhere Solutions
iAnywhere Solutions is a software company best known for its mobile and embedded database and data management products, originally developed as a subsidiary of Sybase.
-
C.
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.
-
D.
Teradata
Teradata is an enterprise-grade relational database management system and data warehousing platform designed for large-scale analytics and business intelligence workloads.
-
E.
Vertica
Vertica is a high-performance, column-oriented analytical database system designed for large-scale data warehousing and real-time analytics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e41bf08190963848f1597b6e9f |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.