Triple
T6090649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanawha Section |
E135753
|
entity |
| Predicate | hasGeomorphicProcess |
P18790
|
FINISHED |
| Object | fluvial erosion |
—
|
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: fluvial erosion | Statement: [Kanawha Section, hasGeomorphicProcess, fluvial erosion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeomorphicProcess Context triple: [Kanawha Section, hasGeomorphicProcess, fluvial erosion]
-
A.
geomorphologicalProcess
chosen
Indicates a relationship where one entity undergoes or is shaped by natural earth-surface processes that modify landforms and terrain structure.
-
B.
causesGeologicalProcess
Indicates that one entity brings about, initiates, or is responsible for a geological process occurring in another or in the environment.
-
C.
geologicalFormationProcess
Indicates the natural geological process or set of processes by which a particular geological formation came into existence.
-
D.
geomorphology
Indicates the study or characterization of landforms and the processes that shape the Earth's surface.
-
E.
hasLandformOrigin
Indicates that something originates from, or is formed by, a particular landform.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057aa192081908619d3518d4efa7a |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.