Triple
T17421544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candameña Canyon |
E423628
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Basaseachic 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: Basaseachic Falls | Statement: [Candameña Canyon, knownFor, Basaseachic Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basaseachic Falls Context triple: [Candameña Canyon, knownFor, Basaseachic Falls]
-
A.
Basaseachic Falls
chosen
Basaseachic Falls is a major waterfall in Mexico’s Copper Canyon region, renowned as one of the country’s tallest and most scenic natural attractions.
-
B.
Cochecho Falls
Cochecho Falls is a historic waterfall and former mill site on the Cocheco River in downtown Dover, New Hampshire.
-
C.
Numa Falls
Numa Falls is a scenic waterfall and popular roadside stop along the Vermilion River in British Columbia’s Canadian Rockies.
-
D.
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.
-
E.
Nachi Falls
Nachi Falls is one of Japan’s tallest and most famous waterfalls, revered as a sacred site and scenic highlight near the Kumano Nachi Taisha shrine in Wakayama Prefecture.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e442372954819085f332efc7067ae9 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.