Triple
T24357046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nojoqui Falls Park |
E613951
|
entity |
| Predicate | waterfallFlow |
P155906
|
FINISHED |
| Object | strongest in rainy season |
—
|
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: strongest in rainy season | Statement: [Nojoqui Falls Park, waterfallFlow, strongest in rainy season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallFlow Context triple: [Nojoqui Falls Park, waterfallFlow, strongest in rainy season]
-
A.
waterfallDrop
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
B.
waterfallAlong
Indicates that a waterfall is located along the course, path, or extent of another geographic feature such as a river, trail, or boundary.
-
C.
feedsWaterfall
Indicates that one entity supplies or channels water into a waterfall, contributing to its flow.
-
D.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
E.
waterfallWidthApproximate
Indicates that the width of a waterfall is approximately a specified value, allowing for some margin of error rather than an exact measurement.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29349ee188190a9d54b2c725b8a27 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2 a.m.