Triple
T24680666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palouse Hills |
E611119
|
entity |
| Predicate | erosionConcern |
P156966
|
FINISHED |
| Object | soil erosion from water |
—
|
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: soil erosion from water | Statement: [Palouse Hills, erosionConcern, soil erosion from water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: erosionConcern Context triple: [Palouse Hills, erosionConcern, soil erosion from water]
-
A.
erosionRate
Indicates the rate at which material is worn away or removed from a surface over time due to erosive processes.
-
B.
hasErosionEffect
Indicates that one entity causes or exhibits an erosive impact or degradation effect on another entity or surface.
-
C.
erosionAgent
Indicates the natural force or process responsible for wearing away, transporting, or reshaping material from a surface.
-
D.
hasErosionFeature
Indicates that one entity exhibits or contains a specific erosion-related feature or form resulting from erosional processes.
-
E.
erosionResistance
Indicates how strongly one entity can withstand or prevent being worn away, degraded, or removed by erosive forces caused by another entity or the environment.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f41010f06c81908ee7f773220df14f |
completed | May 1, 2026, 2:29 a.m. |
Created at: April 18, 2026, 3:08 a.m.