Triple
T38103320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confluence Overlook Trail |
E951442
|
entity |
| Predicate | hasEndpointView |
P854
|
FINISHED |
| Object | confluence of the Green River and Colorado River |
—
|
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: confluence of the Green River and Colorado River | Statement: [Confluence Overlook Trail, hasEndpointView, confluence of the Green River and Colorado River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndpointView Context triple: [Confluence Overlook Trail, hasEndpointView, confluence of the Green River and Colorado River]
-
A.
hasEndpointType
Indicates that an entity has a specific type or classification assigned to one of its endpoints.
-
B.
hasEndpointLocation
Indicates that something has a specific location at which it terminates or reaches its end point.
-
C.
hasPrimaryEndpoint
Indicates that an entity designates another entity as its main or most important endpoint or target location.
-
D.
hasViewingPointFor
Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
-
E.
hasView
chosen
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 3, 2026, 4:21 p.m.