Triple
T32995475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troutman Street |
E844215
|
entity |
| Predicate | artAccessibility |
P1710
|
FINISHED |
| Object | free public access |
—
|
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: free public access | Statement: [Troutman Street, artAccessibility, free public access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artAccessibility Context triple: [Troutman Street, artAccessibility, free public access]
-
A.
accessibilityFeatures
Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
-
B.
accessible
chosen
Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
-
C.
wheelchairAccessibility
Indicates whether a place, service, or route is accessible and usable by people who use wheelchairs.
-
D.
valueAccessibility
Indicates how easily or readily a value can be obtained, used, or understood by relevant parties.
-
E.
accessibilityPolicy
Indicates that an entity has, follows, or is governed by a specific accessibility policy defining how it ensures access for people with disabilities.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d2172f208190967d972ccf5af151 |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:22 a.m.