Triple
T3907812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mooney Falls |
E87246
|
entity |
| Predicate | locatedDownstreamFrom |
P5956
|
FINISHED |
| Object | Havasu Falls |
E85644
|
NE FINISHED |
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: [Mooney Falls, locatedDownstreamFrom, Havasu Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havasu Falls Context triple: [Mooney Falls, locatedDownstreamFrom, 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.
Tanda Falls
Tanda Falls is a scenic waterfall and popular natural getaway located near Mirzapur in Uttar Pradesh, India.
-
D.
Livingstone Falls
Livingstone Falls is a series of powerful rapids and cataracts on the lower Congo River in Central Africa, known for its dramatic drop in elevation and challenging navigation.
-
E.
Furepe Falls
Furepe Falls is a scenic coastal waterfall in Japan’s Shiretoko Peninsula, known for its dramatic drop from seaside cliffs directly into the Sea of Okhotsk and its rich surrounding wildlife.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed13bb14819096842c6c82342524 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51caf41c881909c5156480b46e794 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:22 p.m.