Triple
T9916703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morningstar Mill |
E185887
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Decew Falls waterfall |
E829975
|
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: Decew Falls waterfall | Statement: [Morningstar Mill, near, Decew Falls waterfall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Decew Falls waterfall Context triple: [Morningstar Mill, near, Decew Falls waterfall]
-
A.
Decew Falls
chosen
Decew Falls is a scenic waterfall and historic site in St. Catharines, Ontario, known for its picturesque gorge, hiking trails, and preserved 19th-century mill complex.
-
B.
Holloway Falls
Holloway Falls is a novel by British author Neil Cross, known for its dark, character-driven storytelling and psychological depth.
-
C.
Vernooy Falls
Vernooy Falls is a scenic multi-tiered waterfall located in the Catskill region of New York, popular for hiking and nature viewing.
-
D.
Sweet’s Falls
Sweet’s Falls is a famous Class IV–V whitewater rapid on West Virginia’s Gauley River, known for its powerful drop and popularity among expert kayakers and rafters.
-
E.
Bow Falls
Bow Falls is a scenic, wide waterfall on the Bow River near Banff in Alberta, Canada, known for its powerful cascades and popularity with visitors.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb540195881908f25f7dde5c66a75 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228ae315c8190bedb2cbab0982118 |
completed | April 5, 2026, 9:17 a.m. |
Created at: March 30, 2026, 8:42 p.m.