Triple
T20507378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Falls of the Missouri |
E503468
|
entity |
| Predicate | BigFallsHeightApprox |
P47584
|
FINISHED |
| Object | 87 feet |
—
|
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: 87 feet | Statement: [Great Falls of the Missouri, BigFallsHeightApprox, 87 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BigFallsHeightApprox Context triple: [Great Falls of the Missouri, BigFallsHeightApprox, 87 feet]
-
A.
upperFallsHeight
Indicates the vertical height measurement of the upper falls section in a waterfall or multi-tiered cascade.
-
B.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
C.
waterfallHeight
chosen
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
D.
numberOfMajorWaterfallsOfNiagaraFalls
Indicates the count of major waterfalls that collectively make up Niagara Falls.
-
E.
VirginiaFallsRelativeHeight
Indicates the relative vertical drop or height of Virginia Falls compared to a reference point or other waterfalls.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc82dd0819085d64d65a1e72c70 |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:36 a.m.