Triple
T34650232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wapsipinicon River floodplain |
E889815
|
entity |
| Predicate | geomorphicSetting |
P85196
|
FINISHED |
| Object | alluvial plain |
—
|
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: alluvial plain | Statement: [Wapsipinicon River floodplain, geomorphicSetting, alluvial plain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geomorphicSetting Context triple: [Wapsipinicon River floodplain, geomorphicSetting, alluvial plain]
-
A.
geomorphicType
Indicates the classification of a geographic feature based on its landform or geomorphic characteristics.
-
B.
geomorphologicalContext
chosen
Indicates the geomorphological setting or landform context in which a feature, process, or observation occurs (e.g., valley, plateau, coastal dune).
-
C.
physiographicSystem
Indicates a relationship where one entity is classified as, or associated with, a particular physiographic system (a distinct large-scale physical landscape or geomorphic region).
-
D.
geomorphologicalProcess
Indicates a relationship where one entity undergoes or is shaped by natural earth-surface processes that modify landforms and terrain structure.
-
E.
geomorphology
Indicates the study or characterization of landforms and the processes that shape the Earth's surface.
- 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722c27e1c819098f67081bc0764b3 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.