Triple
T15360612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Sisters waterfall |
E367278
|
entity |
| Predicate | tallestSingleDrop |
P118261
|
FINISHED |
| Object | about 250 metres |
—
|
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 250 metres | Statement: [Seven Sisters waterfall, tallestSingleDrop, about 250 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tallestSingleDrop Context triple: [Seven Sisters waterfall, tallestSingleDrop, about 250 metres]
-
A.
skiVerticalDrop
Indicates the vertical distance in elevation from the top to the bottom of a ski run or ski area.
-
B.
rideHeight
Indicates the vertical distance between a vehicle’s chassis and the ground, defining how high it sits relative to the surface.
-
C.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
D.
coasterType
Indicates the specific category or style of a coaster that characterizes its design or function.
-
E.
isFamilyCoaster
Indicates that a roller coaster is designed to be suitable and enjoyable for riders of all ages, including children and families.
- F. None of above. chosen
Provenance (4 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:18 a.m.