Triple
T22979925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS Basic User Interface Module Level 3 |
E571429
|
entity |
| Predicate | defines |
P264
|
FINISHED |
| Object | :valid pseudo-class |
—
|
NE NERFINISHED |
How this triple was built (3 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: :valid pseudo-class | Statement: [CSS Basic User Interface Module Level 3, defines, :valid pseudo-class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: :valid pseudo-class Context triple: [CSS Basic User Interface Module Level 3, defines, :valid pseudo-class]
-
A.
CSS Pseudo-Elements Module
The CSS Pseudo-Elements Module is a W3C specification that defines the syntax and behavior of pseudo-elements like ::before and ::after, enabling authors to style and insert generated content into specific parts of elements.
-
B.
CSS Conditional Rules Module Level 3
CSS Conditional Rules Module Level 3 is a CSS specification that defines conditional group rules like @media, @supports, and related constructs for applying styles based on conditions such as device capabilities or feature support.
-
C.
W3C CSS Validation Service
The W3C CSS Validation Service is an online tool provided by the World Wide Web Consortium that checks Cascading Style Sheets (CSS) for syntax errors and standards compliance.
-
D.
CSS Basic User Interface Module Level 3
CSS Basic User Interface Module Level 3 is a W3C specification that defines user interface–related CSS features such as box sizing, outlines, cursor properties, and UI states for web content.
-
E.
ExampleValidator
ExampleValidator is a TensorFlow Extended component that automatically analyzes input data to detect anomalies and validate examples before they are used in machine learning pipelines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: :valid pseudo-class Target entity description: The :valid pseudo-class is a CSS selector used to match form elements whose values satisfy all the constraints of their associated validation rules.
-
A.
CSS Pseudo-Elements Module
The CSS Pseudo-Elements Module is a W3C specification that defines the syntax and behavior of pseudo-elements like ::before and ::after, enabling authors to style and insert generated content into specific parts of elements.
-
B.
CSS Conditional Rules Module Level 3
CSS Conditional Rules Module Level 3 is a CSS specification that defines conditional group rules like @media, @supports, and related constructs for applying styles based on conditions such as device capabilities or feature support.
-
C.
W3C CSS Validation Service
The W3C CSS Validation Service is an online tool provided by the World Wide Web Consortium that checks Cascading Style Sheets (CSS) for syntax errors and standards compliance.
-
D.
CSS Basic User Interface Module Level 3
chosen
CSS Basic User Interface Module Level 3 is a W3C specification that defines user interface–related CSS features such as box sizing, outlines, cursor properties, and UI states for web content.
-
E.
ExampleValidator
ExampleValidator is a TensorFlow Extended component that automatically analyzes input data to detect anomalies and validate examples before they are used in machine learning pipelines.
- F. None of above.
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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18294c4c8819083ef85d9cb736613 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.