Triple
T6492084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cimarron River |
E148063
|
entity |
| Predicate | flowsThroughLandscape |
P71042
|
FINISHED |
| Object | arid landscapes |
—
|
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: arid landscapes | Statement: [Cimarron River, flowsThroughLandscape, arid landscapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsThroughLandscape Context triple: [Cimarron River, flowsThroughLandscape, arid landscapes]
-
A.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
B.
flowsParallelTo
Indicates that one entity moves or extends in the same direction as another without intersecting it, maintaining a parallel course.
-
C.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
-
D.
flowsThroughTown
Indicates that something, typically a river or stream, passes through the area or boundaries of a town.
-
E.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c067f1ef148190bc0355abe83f7e16 |
completed | March 22, 2026, 10:06 p.m. |
Created at: March 22, 2026, 4:53 p.m.