Triple
T20458801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle JDeveloper |
E501865
|
entity |
| Predicate | supportsTechnology |
P5090
|
FINISHED |
| Object | JSF |
—
|
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: JSF | Statement: [Oracle JDeveloper, supportsTechnology, JSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JSF Context triple: [Oracle JDeveloper, supportsTechnology, JSF]
-
A.
Jakarta Server Faces
chosen
Jakarta Server Faces is a component-based web framework for building server-side user interfaces in Java enterprise applications.
-
B.
MyFaces
MyFaces is an open-source implementation of the Jakarta Server Faces (JSF) framework that provides components and tools for building Java-based web user interfaces.
-
C.
Facelets
Facelets is a powerful view declaration language for building component-based user interfaces in Java web applications, particularly with Jakarta Server Faces.
-
D.
JSF program
The JSF program is a multinational defense initiative led by the United States to develop and produce the F-35 Lightning II family of advanced stealth multirole combat aircraft.
-
E.
JSP
JSP is the commonly used abbreviation for the Japan Socialist Party, a former major left-wing political party in Japan.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a4652c8190acf79fa2e285e436 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.