Triple
T23347501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supai |
E591907
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Havasu 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: Havasu Falls | Statement: [Supai, hasFeature, Havasu Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havasu Falls Context triple: [Supai, hasFeature, Havasu Falls]
-
A.
Havasu Falls
chosen
Havasu Falls is a famous turquoise-blue waterfall located in the Grand Canyon on the Havasupai Indian Reservation in Arizona, renowned for its striking travertine pools and scenic desert oasis setting.
-
B.
Kwa Falls
Kwa Falls is a scenic waterfall and popular natural tourist attraction located within Nigeria’s Cross River State.
-
C.
Bahuti Falls
Bahuti Falls is a scenic waterfall in Madhya Pradesh, India, known for its impressive drop into a deep gorge on the Tamsa (Tons) River.
-
D.
Uloola Falls
Uloola Falls is a scenic waterfall located in Royal National Park, New South Wales, Australia, popular with hikers and nature enthusiasts.
-
E.
Boyoma Falls
Boyoma Falls is a series of powerful cataracts on the Lualaba River in the Democratic Republic of the Congo, known as one of the largest waterfall systems in Africa by volume.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983840a481908c503e47ef2158e3 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:19 p.m.