Triple
T19383661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea to Sky Gondola |
E484874
|
entity |
| Predicate | offersViewOf |
P3821
|
FINISHED |
| Object | Shannon Falls |
—
|
NE NERFINISHED |
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: Shannon Falls | Statement: [Sea to Sky Gondola, offersViewOf, Shannon Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shannon Falls Context triple: [Sea to Sky Gondola, offersViewOf, Shannon Falls]
-
A.
Shannon Falls
chosen
Shannon Falls is a prominent waterfall and popular natural attraction located near Squamish in British Columbia, Canada.
-
B.
Cochecho Falls
Cochecho Falls is a historic waterfall and former mill site on the Cocheco River in downtown Dover, New Hampshire.
-
C.
Sabbaday Falls
Sabbaday Falls is a popular multi-tiered waterfall and scenic gorge in New Hampshire’s White Mountain National Forest, known for its short hiking trail, wooden walkways, and picturesque cascades.
-
D.
Ripley Falls
Ripley Falls is a picturesque, steep cascade waterfall in New Hampshire’s White Mountains, popular with hikers visiting Crawford Notch.
-
E.
Campbell Falls
Campbell Falls is a scenic waterfall and popular natural attraction located in the forested hills near Norfolk in northwestern Connecticut.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a626b288190a27a30deb0ccabc3 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.