Triple
T18029410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Nahanni River |
E431344
|
entity |
| Predicate | VirginiaFallsHeightApprox |
P55381
|
FINISHED |
| Object | twice the height of Niagara Falls |
—
|
LITERAL 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: twice the height of Niagara Falls | Statement: [South Nahanni River, VirginiaFallsHeightApprox, twice the height of Niagara Falls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VirginiaFallsHeightApprox Context triple: [South Nahanni River, VirginiaFallsHeightApprox, twice the height of Niagara Falls]
-
A.
VirginiaFallsRelativeHeight
chosen
Indicates the relative vertical drop or height of Virginia Falls compared to a reference point or other waterfalls.
-
B.
upperFallsHeight
Indicates the vertical height measurement of the upper falls section in a waterfall or multi-tiered cascade.
-
C.
approximateHeightOfFallsViewed
Indicates the estimated vertical height of the waterfalls as observed or perceived by the viewer.
-
D.
heightAboveFalls
Indicates that one entity is located at a higher elevation than a waterfall or waterfalls associated with another entity.
-
E.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
- F. None of above.
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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be347f6c8190b324fe74b7dc1764 |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.