Triple
T12803228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna Island |
E306076
|
entity |
| Predicate | separates |
P1175
|
FINISHED |
| Object | American Falls |
E64044
|
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: American Falls | Statement: [Luna Island, separates, American Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Falls Context triple: [Luna Island, separates, American Falls]
-
A.
American Falls
chosen
American Falls is one of the three major waterfalls that make up Niagara Falls, located on the U.S. side of the Niagara River between New York and Ontario.
-
B.
Indian Falls
Indian Falls is a scenic waterfall and popular hiking destination in the Adirondack High Peaks region of New York.
-
C.
Big Falls
Big Falls is a prominent waterfall on the Missouri River near Great Falls, Montana, known for its impressive drop and scenic views.
-
D.
Shoshone Falls
Shoshone Falls is a large waterfall in southern Idaho often called the "Niagara of the West" for its impressive height and volume.
-
E.
Cascades Falls
Cascades Falls is a scenic waterfall that serves as the main natural attraction within Cascades Falls Park.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7e3be48190ba9159c9f1ac2ccd |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b96f72881909090691e99bb2425 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 5:30 p.m.