Triple
T22955338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toketee Falls |
E570739
|
entity |
| Predicate | upperDropHeight |
P53989
|
FINISHED |
| Object | about 28 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: about 28 feet | Statement: [Toketee Falls, upperDropHeight, about 28 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperDropHeight Context triple: [Toketee Falls, upperDropHeight, about 28 feet]
-
A.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
B.
upperTierHeight
chosen
Indicates the vertical measurement or elevation of an upper tier relative to a reference level or structure.
-
C.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
D.
verticalDrop_m
Indicates the vertical distance, measured in meters, through which something drops or falls from a higher point to a lower point.
-
E.
secondDropHeight
Indicates the height at which an object is dropped for the second time in a sequence of drops.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f09de48190b55913570c965412 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:47 p.m.