Triple
T24555402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wailuku River State Park |
E607499
|
entity |
| Predicate | waterfallHeightContext |
P47584
|
FINISHED |
| Object | Rainbow Falls is approximately 80 feet high |
—
|
NE NERFINISHED |
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: Rainbow Falls is approximately 80 feet high | Statement: [Wailuku River State Park, waterfallHeightContext, Rainbow Falls is approximately 80 feet high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallHeightContext Context triple: [Wailuku River State Park, waterfallHeightContext, Rainbow Falls is approximately 80 feet high]
-
A.
waterfallHeight
chosen
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
waterfallLocation
Indicates the spatial location or geographic area where a waterfall is situated.
-
C.
waterfallWidthApproximate
Indicates that the width of a waterfall is approximately a specified value, allowing for some margin of error rather than an exact measurement.
-
D.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
-
E.
waterfallAlong
Indicates that a waterfall is located along the course, path, or extent of another geographic feature such as a river, trail, or boundary.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f1fb9c819086b5bd0b03a853e6 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.