Triple
T17598643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anypoint Studio |
E428636
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | DataWeave editor |
—
|
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: DataWeave editor | Statement: [Anypoint Studio, hasFeature, DataWeave editor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DataWeave editor Context triple: [Anypoint Studio, hasFeature, DataWeave editor]
-
A.
DataWeave
chosen
DataWeave is MuleSoft’s powerful data transformation language used to query, map, and convert data across formats within integration flows.
-
B.
Swagger Editor
Swagger Editor is an open-source, browser-based tool for designing, editing, and validating OpenAPI/Swagger API definitions in YAML or JSON.
-
C.
Anypoint Visualizer
Anypoint Visualizer is a visualization tool within MuleSoft’s Anypoint Platform that provides real-time, graphical views of application networks, APIs, and dependencies to aid in monitoring and troubleshooting.
-
D.
Power Fx
Power Fx is a low-code, Excel-like formula language developed by Microsoft for building logic and expressions in Power Platform applications.
-
E.
DSX
DSX is a U.S. Air Force research spacecraft designed to conduct space environment and radiation experiments in medium Earth orbit.
- 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_69e46c474e5481909d2736241b592dab |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.