Triple
T7702057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flexity Outlook streetcar |
E174521
|
entity |
| Predicate | accessibilityCompliance |
P1710
|
FINISHED |
| Object | wheelchair accessible |
—
|
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: wheelchair accessible | Statement: [Flexity Outlook streetcar, accessibilityCompliance, wheelchair accessible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessibilityCompliance Context triple: [Flexity Outlook streetcar, accessibilityCompliance, wheelchair accessible]
-
A.
isADACompliant
Indicates that something meets the accessibility standards and requirements defined by the Americans with Disabilities Act (ADA).
-
B.
hasARIAcertification
Indicates that an entity possesses an ARIA (Accessible Rich Internet Applications) certification attesting to compliance with relevant accessibility standards.
-
C.
providesAccessibility
Indicates that one entity enables or improves access to another entity, resource, or service, removing or reducing barriers to its use.
-
D.
providesCompliance
Indicates that one entity supplies or ensures adherence to required rules, standards, or regulations for another entity.
-
E.
accessible
chosen
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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.