Triple
T161264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Web 2.0 |
E3289
|
entity |
| Predicate | enabledBy |
P6232
|
FINISHED |
| Object | JavaScript |
E3742
|
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: JavaScript | Statement: [Web 2.0, enabledBy, JavaScript]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JavaScript Context triple: [Web 2.0, enabledBy, JavaScript]
-
A.
JavaScript
chosen
JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
-
B.
DOM
The Document Object Model (DOM) is a platform- and language-neutral interface that represents structured documents like HTML and XML as a tree of objects, enabling programs and scripts to dynamically access and update their content and structure.
-
C.
HTML5
HTML5 is the fifth major version of the HyperText Markup Language standard, introducing modern web features such as semantic elements, native audio and video, and enhanced APIs for building rich, interactive web applications.
-
D.
Java
Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
-
E.
Java
Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25bae79b48190abfd247410e5918f |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d4cbaedc81908aa7cf4df2661ccc |
completed | Feb. 28, 2026, 11:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.