Triple
T20344768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panorama Ridge |
E495836
|
entity |
| Predicate | campingNearby |
P79315
|
FINISHED |
| Object | Garibaldi Lake campground |
—
|
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: Garibaldi Lake campground | Statement: [Panorama Ridge, campingNearby, Garibaldi Lake campground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campingNearby Context triple: [Panorama Ridge, campingNearby, Garibaldi Lake campground]
-
A.
nearbyCampground
chosen
Indicates that one location has a campground situated close to it in geographic proximity.
-
B.
nearbyResortArea
Indicates that a resort area is located close to or within a short distance of a specified place or entity.
-
C.
nearbyResortSection
Indicates that one resort section is located close to another resort section in physical proximity.
-
D.
nearbySettlements
Indicates that one settlement is located close to another settlement in geographic space.
-
E.
hasRecreationalUseNearby
Indicates that there is at least one location or facility for recreational activities situated close to the referenced entity.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67838744481909069b76b25dd4bb9 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:24 a.m.