Triple
T95381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTML |
E1918
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | HyperText Markup Language |
E1918
|
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: HyperText Markup Language | Statement: [HTML, fullName, HyperText Markup Language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HyperText Markup Language Context triple: [HTML, fullName, HyperText Markup Language]
-
A.
HTML
chosen
HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
-
B.
HTTP
HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
-
C.
World Wide Web
The World Wide Web is a global system of interlinked hypertext documents and resources accessed via the internet, enabling users worldwide to browse, share, and interact with information through web browsers.
-
D.
WorldWideWeb (web browser)
WorldWideWeb was the first web browser and editor, created in 1990 as the original client for navigating and editing content on the World Wide Web.
-
E.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd4777c81909ea9b9a6bd4f7ad5 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a266ed314881908b6e5e7a91930b56 |
completed | Feb. 28, 2026, 3:54 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.