Triple
T32763802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridal Veil Falls Provincial Park |
E837829
|
entity |
| Predicate | fallsFlowsOver |
P175093
|
FINISHED |
| Object | rocky cliff face |
—
|
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: rocky cliff face | Statement: [Bridal Veil Falls Provincial Park, fallsFlowsOver, rocky cliff face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fallsFlowsOver Context triple: [Bridal Veil Falls Provincial Park, fallsFlowsOver, rocky cliff face]
-
A.
fallsWith
Indicates that one entity falls at the same time as, or as a consequence of, another entity falling.
-
B.
fallsFrom
Indicates that one entity moves downward or drops starting from the location or position of another entity.
-
C.
fallsIn
Indicates that one entity is located within, contained by, or geographically/administratively included inside another entity.
-
D.
fallsOn
Indicates that one entity descends due to gravity and comes to rest upon the surface of another entity.
-
E.
fallsOffAs
Indicates that one quantity decreases in value or intensity as another quantity increases or changes.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:13 a.m.