Triple
T3415090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Class Library |
E71989
|
entity |
| Predicate | includesPackage |
P49317
|
FINISHED |
| Object | java.awt |
E13745
|
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.awt | Statement: [Java Class Library, includesPackage, java.awt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: java.awt Context triple: [Java Class Library, includesPackage, java.awt]
-
A.
JavaFX
JavaFX is a Java-based platform for creating rich client applications with modern graphical user interfaces, media, and web features across desktop and embedded systems.
-
B.
Closeup in Swing
Closeup in Swing is a jazz album by pianist Erroll Garner that showcases his distinctive, swinging piano style and improvisational flair.
-
C.
Java
Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
-
D.
Java
chosen
Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
-
E.
AVA
AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb929b8ec8190aef431ec8ea2cf80 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34be16dd48190a51f4e13a6a13a4f |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.