Triple
T24189539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lees Ferry |
E599653
|
entity |
| Predicate | confluenceNearby |
P2416
|
FINISHED |
| Object | Paria River and Colorado River |
—
|
NE NERFINISHED |
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: Paria River and Colorado River | Statement: [Lees Ferry, confluenceNearby, Paria River and Colorado River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confluenceNearby Context triple: [Lees Ferry, confluenceNearby, Paria River and Colorado River]
-
A.
confluenceLocation
Indicates the place where two or more flowing entities (such as rivers or streams) meet and merge.
-
B.
confluenceWith
chosen
Indicates that one entity joins or merges together with another, typically at a shared meeting point.
-
C.
confluenceDistrict
Indicates a relationship where an area or region is designated as the district surrounding or encompassing the confluence of two or more water bodies.
-
D.
confluenceRegion
Indicates the region where two or more entities (typically flows, paths, or streams) merge or come together into a single combined course.
-
E.
confluenceCharacteristic
Indicates a characteristic or property that specifically pertains to the confluence or merging point of two or more entities.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:35 p.m.