Triple
T5735235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEA AquaLogic |
E126485
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | AquaLogic BPM |
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 BPM | Statement: [BEA AquaLogic, component, AquaLogic BPM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AquaLogic BPM Context triple: [BEA AquaLogic, component, AquaLogic BPM]
-
A.
Appian
Appian was a 2nd-century AD Roman historian of Greek origin best known for his multi-volume work "Roman History," which includes a detailed account of the Roman civil wars.
-
B.
Appirio
Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
-
C.
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.
-
D.
Ebixa
Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
-
E.
BPMN
BPMN (Business Process Model and Notation) is a standardized graphical notation used to model and visualize business processes in a workflow.
- 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.