Triple
T22003253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yosemite Creek Campground |
E543384
|
entity |
| Predicate | roadTypeToAccess |
P1019
|
FINISHED |
| Object | narrow road |
—
|
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: narrow road | Statement: [Yosemite Creek Campground, roadTypeToAccess, narrow road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadTypeToAccess Context triple: [Yosemite Creek Campground, roadTypeToAccess, narrow road]
-
A.
roadAccessVia
Indicates that one location or area is reachable from another specifically by using a particular road or road segment.
-
B.
roadAccessFrom
Indicates that one location can be reached from another via a usable road connection.
-
C.
roadPassType
Indicates the type or category of permission or authorization required to use or pass along a particular road or route.
-
D.
roadAccessArea
Indicates that an area is designated for or provides access to a road, such as for entry, exit, or connection.
-
E.
roadType
chosen
Indicates the classification or category of a road based on its functional or physical characteristics.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:20 p.m.