Triple
T34206345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snoqualmie Falls |
E877519
|
entity |
| Predicate | waterfallCount |
P24531
|
FINISHED |
| Object | single drop |
—
|
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: single drop | Statement: [Snoqualmie Falls, waterfallCount, single drop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallCount Context triple: [Snoqualmie Falls, waterfallCount, single drop]
-
A.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
C.
waterfallDrop
chosen
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
D.
waterfallAlong
Indicates that a waterfall is located along the course, path, or extent of another geographic feature such as a river, trail, or boundary.
-
E.
waterfallWidthApproximate
Indicates that the width of a waterfall is approximately a specified value, allowing for some margin of error rather than an exact measurement.
- 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 1, 2026, 1:55 a.m.