Triple
T29491163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystic Beach |
E748082
|
entity |
| Predicate | waterfallCascadesOnto |
P181664
|
FINISHED |
| Object | beach |
—
|
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: beach | Statement: [Mystic Beach, waterfallCascadesOnto, beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallCascadesOnto Context triple: [Mystic Beach, waterfallCascadesOnto, beach]
-
A.
waterfallAlong
Indicates that a waterfall is located along the course, path, or extent of another geographic feature such as a river, trail, or boundary.
-
B.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
-
C.
waterfallDrop
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
D.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
E.
primaryWaterfall
Indicates that one entity serves as the main or most significant waterfall associated with another entity.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f7805c25dc8190b9977c561ba15975 |
completed | May 3, 2026, 5:05 p.m. |
Created at: April 28, 2026, 4:14 p.m.