Triple
T5735237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEA AquaLogic |
E126485
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | AquaLogic Enterprise Repository |
E126485
|
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: AquaLogic Enterprise Repository | Statement: [BEA AquaLogic, component, AquaLogic Enterprise Repository]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AquaLogic Enterprise Repository Context triple: [BEA AquaLogic, component, AquaLogic Enterprise Repository]
-
A.
Ebixa
Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
-
B.
BEA AquaLogic
chosen
BEA AquaLogic is a service-oriented architecture (SOA) and middleware software suite from BEA Systems designed to integrate, orchestrate, and manage enterprise applications and services.
-
C.
Jasper Technologies
Jasper Technologies is a cloud-based Internet of Things (IoT) platform provider known for enabling companies to manage and monetize connected devices and services.
-
D.
Plumtree
Plumtree is a small border town in southwestern Zimbabwe that serves as a key road and rail gateway between Zimbabwe and Botswana.
-
E.
AQUA (Advanced Query Accelerator)
AQUA (Advanced Query Accelerator) is a hardware-accelerated, cloud-native cache for Amazon Redshift that speeds up analytic query performance by offloading and parallelizing data processing closer to storage.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025596b5c81909b5626773c91cecb |
completed | March 22, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e05a7e08190a79fb43aefdbea6b |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:47 p.m.