Triple
T14383913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | java.net |
E356674
|
entity |
| Predicate | containsClass |
P9272
|
FINISHED |
| Object | java.net.URLStreamHandler |
E356674
|
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: java.net.URLStreamHandler | Statement: [java.net, containsClass, java.net.URLStreamHandler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: java.net.URLStreamHandler Context triple: [java.net, containsClass, java.net.URLStreamHandler]
-
A.
java.net
chosen
java.net is a core Java package that provides classes and interfaces for networking, including support for sockets, URLs, and IP addressing.
-
B.
urllib
urllib is a Python standard library package that provides high-level and low-level interfaces for working with URLs and handling HTTP requests.
-
C.
URLSession
URLSession is Apple’s networking API for performing HTTP and other URL-based data transfers in iOS, macOS, and related platforms.
-
D.
Netty
Netty is a high-performance, asynchronous event-driven network application framework for rapid development of maintainable protocol servers and clients in Java.
-
E.
URL (Swift)
URL (Swift) is a Foundation framework type that represents and manipulates Uniform Resource Locators in a type-safe, structured way within Swift applications.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900d28c88190a37feee4743563de |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5511c9e4819089dcbf089ca0dc6a |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.