Triple
T24252592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DBAG Class 484 |
E603570
|
entity |
| Predicate | designedToMeetAccessibilityStandards |
P86683
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [DBAG Class 484, designedToMeetAccessibilityStandards, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToMeetAccessibilityStandards Context triple: [DBAG Class 484, designedToMeetAccessibilityStandards, yes]
-
A.
hasARIAcertification
Indicates that an entity possesses an ARIA (Accessible Rich Internet Applications) certification attesting to compliance with relevant accessibility standards.
-
B.
accessibilityFeatures
Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
-
C.
isADACompliant
Indicates that something meets the accessibility standards and requirements defined by the Americans with Disabilities Act (ADA).
-
D.
designedToMeetRequirement
chosen
Indicates that something has been intentionally created or configured in order to satisfy a specified requirement.
-
E.
accessible
Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b8aff788190bb37fc8ab04bde00 |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:05 a.m.