Triple
T2596576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elowah Falls |
E58245
|
entity |
| Predicate | waterfallType |
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: [Elowah Falls, waterfallType, plunge waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallType Context triple: [Elowah Falls, waterfallType, plunge waterfall]
-
A.
waterfallDrop
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
B.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
C.
typeOfWaterfall
chosen
Indicates that one entity is a specific kind or category of waterfall in relation to another entity.
-
D.
flowType
Indicates the kind or category of flow (such as direction, pattern, or mode of movement/transfer) that characterizes the relationship between entities.
-
E.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.