Triple
T10169617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Colorado River |
E235295
|
entity |
| Predicate | flowsThroughFeature |
P71042
|
FINISHED |
| Object | deep canyons |
—
|
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: deep canyons | Statement: [Little Colorado River, flowsThroughFeature, deep canyons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsThroughFeature Context triple: [Little Colorado River, flowsThroughFeature, deep canyons]
-
A.
passesFeature
Indicates that one entity successfully satisfies, verifies, or meets the criteria of a specified feature or test condition associated with another entity.
-
B.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
C.
flowsOver
Indicates that one substance or medium moves across the surface or boundary of another, covering or passing above it.
-
D.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
-
E.
flowsThroughLandscape
chosen
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9ba56481908b5265aea8ea8cbe |
completed | April 2, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:10 p.m.