Triple
T32709490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JsonBuilderFactory |
E836359
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Jakarta JSON Processing API interface |
C60133
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Jakarta JSON Processing API interface Context triple: [JsonBuilderFactory, instanceOf, Jakarta JSON Processing API interface]
-
A.
Jakarta JSON Processing API component
chosen
A Jakarta JSON Processing API component represents a modular part of the JSON-P framework that provides programmatic facilities to parse, generate, transform, and query JSON data in Java applications.
-
B.
Jakarta Security API interface
The Jakarta Security API interface defines a set of contracts for pluggable authentication, authorization, and identity management mechanisms in Jakarta EE applications.
-
C.
data processing API
A data processing API is an interface that enables applications to ingest, transform, analyze, and output data through standardized, programmatic operations.
-
D.
town in Indonesia
A town in Indonesia is an urban settlement within the country’s administrative structure that serves as a local center for governance, commerce, and community life, typically smaller than a city but more developed than surrounding rural areas.
-
E.
museum in Jakarta
A museum in Jakarta is a public cultural institution that collects, preserves, and exhibits artifacts, artworks, and historical objects related to Indonesia’s heritage, with a particular focus on the history and culture of Jakarta and its surrounding regions.
- F. None of above.
Provenance (1 batch)
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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:10 a.m.