Triple
T2740338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildcat Mountain |
E60733
|
entity |
| Predicate | hasVerticalDrop |
P24531
|
FINISHED |
| Object | approximately 2112 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 2112 feet | Statement: [Wildcat Mountain, hasVerticalDrop, approximately 2112 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerticalDrop Context triple: [Wildcat Mountain, hasVerticalDrop, approximately 2112 feet]
-
A.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
-
B.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
C.
hasValley
Indicates that one entity contains, features, or is characterized by the presence of a valley associated with the other entity.
-
D.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
E.
waterfallDrop
chosen
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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb2f210881909126307cc92ebfef |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.