Triple
T2257143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Yosemite Fall Trail |
E49752
|
entity |
| Predicate | isWheelchairAccessibleInPart |
P36770
|
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: [Lower Yosemite Fall Trail, isWheelchairAccessibleInPart, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWheelchairAccessibleInPart Context triple: [Lower Yosemite Fall Trail, isWheelchairAccessibleInPart, yes]
-
A.
wheelchairTransferRequired
Indicates that a person must be transferred into or out of a wheelchair in order to perform or complete the associated activity or service.
-
B.
hasWheelchairLanes
Indicates that a location, route, or facility includes designated lanes or pathways specifically designed for wheelchair use.
-
C.
hasStepFreeAccess
Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
-
D.
isDifficultToAccessBecauseOf
Indicates that something is hard to reach, obtain, or use due to a specified obstacle, condition, or circumstance.
-
E.
hasPedestrianAccessTo
Indicates that a location or area can be reached or entered safely and directly by people on foot.
- F. None of above. chosen
Provenance (4 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1570dc88190bb2b17ed4c25dbb5 |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe86dbcc81908c72793af8fe2a4d |
completed | March 7, 2026, 5:58 a.m. |
Created at: March 4, 2026, 7:47 p.m.