Triple
T18086875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burney, California |
E432856
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Burney 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: Burney Falls | Statement: [Burney, California, near, Burney Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burney Falls Context triple: [Burney, California, near, Burney Falls]
-
A.
Burney Falls
chosen
Burney Falls is a spectacular 129-foot waterfall in Northern California, renowned for its constant, spring-fed flow and lush, moss-covered basalt cliffs.
-
B.
Roaring Brook Falls
Roaring Brook Falls is a scenic waterfall in the Adirondack Mountains of upstate New York, popular with hikers and nature enthusiasts.
-
C.
North Falls
North Falls is a prominent waterfall in Oregon known for its dramatic plunge and trail that passes behind the cascade within Silver Falls State Park.
-
D.
Campbell Falls
Campbell Falls is a scenic waterfall and popular natural attraction located in the forested hills near Norfolk in northwestern Connecticut.
-
E.
The Falls
The Falls is a crime novel by Scottish author Ian Rankin, featuring Inspector Rebus investigating a mysterious disappearance in Edinburgh.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd150ab88190864be2a722d214b8 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.