Triple
T8937855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoshone Falls Park |
E212820
|
entity |
| Predicate | hasTypeOfWaterfallView |
P36915
|
FINISHED |
| Object | plunge waterfall |
—
|
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: plunge waterfall | Statement: [Shoshone Falls Park, hasTypeOfWaterfallView, plunge waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfWaterfallView Context triple: [Shoshone Falls Park, hasTypeOfWaterfallView, plunge waterfall]
-
A.
typeOfWaterfall
chosen
Indicates that one entity is a specific kind or category of waterfall in relation to another entity.
-
B.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
C.
hasWaterfallType
Indicates that one entity is characterized by or associated with a specific type or classification of waterfall.
-
D.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
E.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b57a348190979effe4f9998eb7 |
completed | April 1, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:58 p.m.