Triple
T17561356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Beam |
E427701
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object | Java SDK |
—
|
NE NERFINISHED |
How this triple was built (3 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: Java SDK | Statement: [Apache Beam, supportsLanguage, Java SDK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Java SDK Context triple: [Apache Beam, supportsLanguage, Java SDK]
-
A.
Java SDK
The Java SDK for Azure Blob Storage is a client library that enables Java developers to programmatically manage and interact with blob data in Azure, including uploading, downloading, listing, and securing stored objects.
-
B.
Python SDK
Python SDK is a software development kit that enables developers to build and integrate Python applications with services and platforms such as Azure Data Lake Storage.
-
C.
JavaScript SDK
The JavaScript SDK for Azure Data Lake Storage is a client library that enables developers to programmatically manage and interact with Data Lake Storage resources from JavaScript applications.
-
D.
Azure SDKs
Azure SDKs are Microsoft-provided software development kits that enable developers to build, manage, and integrate applications with Azure cloud services across multiple programming languages and platforms.
-
E.
AWS SDKs
AWS SDKs are language-specific software development kits that enable developers to programmatically interact with and manage AWS services through familiar APIs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Java SDK Target entity description: Java SDK is a software development kit that provides tools, libraries, and APIs for building and running Java applications.
-
A.
Java SDK
chosen
The Java SDK for Azure Blob Storage is a client library that enables Java developers to programmatically manage and interact with blob data in Azure, including uploading, downloading, listing, and securing stored objects.
-
B.
Python SDK
Python SDK is a software development kit that enables developers to build and integrate Python applications with services and platforms such as Azure Data Lake Storage.
-
C.
JavaScript SDK
The JavaScript SDK for Azure Data Lake Storage is a client library that enables developers to programmatically manage and interact with Data Lake Storage resources from JavaScript applications.
-
D.
Azure SDKs
Azure SDKs are Microsoft-provided software development kits that enable developers to build, manage, and integrate applications with Azure cloud services across multiple programming languages and platforms.
-
E.
AWS SDKs
AWS SDKs are language-specific software development kits that enable developers to programmatically interact with and manage AWS services through familiar APIs.
- F. None of above.
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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456274c888190ac80402e391674dd |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.