Triple
T3050230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS Regions Module |
E83547
|
entity |
| Predicate | designRationale |
P41372
|
FINISHED |
| Object | separate content from layout regions |
—
|
LITERAL 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: separate content from layout regions | Statement: [CSS Regions Module, designRationale, separate content from layout regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designRationale Context triple: [CSS Regions Module, designRationale, separate content from layout regions]
-
A.
reasonForDesign
chosen
Indicates that one entity serves as the explanation, motivation, or justification for why another entity was designed or created in a particular way.
-
B.
designPhilosophy
Indicates the guiding principles, values, or conceptual approach that shape how something is designed or created.
-
C.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
D.
designDescription
Indicates that an entity has a textual explanation or summary of its design, structure, or intended configuration.
-
E.
designProcess
Indicates the sequence of actions, decisions, and iterations involved in creating, developing, or refining a design.
- F. None of above.
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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bb1a46081908547a2f27cbf3446 |
completed | March 8, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.