Triple
T10196503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noccalula Falls Park |
E238774
|
entity |
| Predicate | hasHeightOfMainWaterfall |
P47584
|
FINISHED |
| Object | approximately 90 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: approximately 90 feet | Statement: [Noccalula Falls Park, hasHeightOfMainWaterfall, approximately 90 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeightOfMainWaterfall Context triple: [Noccalula Falls Park, hasHeightOfMainWaterfall, approximately 90 feet]
-
A.
waterfallHeight
chosen
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
C.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
D.
upperFallsHeight
Indicates the vertical height measurement of the upper falls section in a waterfall or multi-tiered cascade.
-
E.
heightAboveFalls
Indicates that one entity is located at a higher elevation than a waterfall or waterfalls associated with another entity.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedcaf6688190938d8e56e29493eb |
completed | April 2, 2026, 4:17 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.