Triple
T17474533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascades Falls |
E425503
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Cascades 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: Cascades Falls | Statement: [Cascades Falls, hasName, Cascades Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cascades Falls Context triple: [Cascades Falls, hasName, Cascades Falls]
-
A.
Cascades Falls
chosen
Cascades Falls is a scenic waterfall that serves as the main natural attraction within Cascades Falls Park.
-
B.
Cascade Falls
Cascade Falls is a scenic waterfall and popular natural attraction located in Osceola, Wisconsin.
-
C.
Cascade Falls
Cascade Falls is a scenic waterfall and popular hiking destination located within Maryland’s Patapsco Valley State Park.
-
D.
Palouse Falls
Palouse Falls is a dramatic 200-foot waterfall in southeastern Washington State, renowned for its rugged basalt canyon setting and popularity as a scenic natural landmark.
-
E.
Horsetail Falls
Horsetail Falls is a picturesque, horsetail-shaped waterfall in Oregon that cascades down a basalt cliff along the Columbia River Gorge.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451baa7b0819092035fec42305397 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.