Triple
T18018012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desert de les Palmes Natural Park |
E431042
|
entity |
| Predicate | hasScenicRouteType |
P129433
|
FINISHED |
| Object | ridge trails |
—
|
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: ridge trails | Statement: [Desert de les Palmes Natural Park, hasScenicRouteType, ridge trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScenicRouteType Context triple: [Desert de les Palmes Natural Park, hasScenicRouteType, ridge trails]
-
A.
hasScenicRouteStatus
Indicates that a route or path possesses a designated scenic status, typically recognized for its visual appeal or noteworthy landscapes.
-
B.
hasScenicDrive
Indicates that one entity offers or features a visually appealing or picturesque driving route associated with it.
-
C.
hasScenicByway
Indicates that one place, route, or area is connected to or includes a designated scenic byway.
-
D.
hasScenicAccessTo
Indicates that one place or object provides a visually appealing or notable view of another place or object.
-
E.
hasScenicSections
Indicates that a route, path, or area contains segments that are visually attractive or offer notable scenic views.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9bf85c08190a40cef4c6d7b566a |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.