Triple
T6825923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livingstone Falls |
E157014
|
entity |
| Predicate | totalDrop |
P69355
|
FINISHED |
| Object | approximately 270 m |
—
|
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 270 m | Statement: [Livingstone Falls, totalDrop, approximately 270 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalDrop Context triple: [Livingstone Falls, totalDrop, approximately 270 m]
-
A.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
-
B.
dropCount
Indicates the number of times an entity has been dropped or caused to drop something.
-
C.
dropType
Indicates the manner or category of how something is dropped, released, or caused to fall.
-
D.
verticalDrop_ft
chosen
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
E.
waterfallDrop
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58375248190935dd38d618994e3 |
completed | March 27, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.