Triple
T24189550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lees Ferry |
E599653
|
entity |
| Predicate | waterwayMileMarker |
P111954
|
FINISHED |
| Object | Colorado River mile 0 for Grand Canyon boating |
—
|
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: Colorado River mile 0 for Grand Canyon boating | Statement: [Lees Ferry, waterwayMileMarker, Colorado River mile 0 for Grand Canyon boating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterwayMileMarker Context triple: [Lees Ferry, waterwayMileMarker, Colorado River mile 0 for Grand Canyon boating]
-
A.
riverMilepost
chosen
Indicates the specific distance or position along a river, measured in miles from a defined starting point.
-
B.
riverMileFromMouth
Indicates the distance, measured in river miles, from the river’s mouth upstream to a specific point along the river.
-
C.
approximateMileMarker
Indicates an estimated or not precisely measured position along a route expressed in miles.
-
D.
riverLocation
Indicates that a river is located in, passes through, or is geographically associated with a specified place or region.
-
E.
stateWaterway
Indicates that a waterway is located within, passes through, or is otherwise geographically associated with a particular state.
- 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.