Triple
T2992237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanangra-Boyd National Park |
E80782
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kanangra Falls |
E318307
|
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: Kanangra Falls | Statement: [Kanangra-Boyd National Park, contains, Kanangra Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanangra Falls Context triple: [Kanangra-Boyd National Park, contains, Kanangra Falls]
-
A.
Narada Falls
Narada Falls is a popular, scenic waterfall in Washington State known for its dramatic two-tier drop and easy access within Mount Rainier National Park.
-
B.
Kalang Falls
chosen
Kalang Falls is a scenic multi-tiered waterfall located within Kanangra-Boyd National Park in New South Wales, Australia.
-
C.
Nugget Falls
Nugget Falls is a scenic waterfall in Juneau, Alaska, known for cascading into Mendenhall Lake near the face of Mendenhall Glacier.
-
D.
Metlako Falls
Metlako Falls is a picturesque plunge waterfall on Eagle Creek in the Columbia River Gorge of Oregon, popular with hikers and photographers for its dramatic drop and lush canyon setting.
-
E.
Tanda Falls
Tanda Falls is a scenic waterfall and popular natural getaway located near Mirzapur in Uttar Pradesh, India.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99df69d08190a0e25efb0dc8d653 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de9d8f6c81909c216efbf2f720fc |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 2:59 p.m.