Triple
T13765784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loire plateau |
E330736
|
entity |
| Predicate | geomorphologicalForm |
P85196
|
FINISHED |
| Object | fluvial plateau |
—
|
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 plateau | Statement: [Loire plateau, geomorphologicalForm, fluvial plateau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geomorphologicalForm Context triple: [Loire plateau, geomorphologicalForm, fluvial plateau]
-
A.
geomorphologicalProcess
Indicates a relationship where one entity undergoes or is shaped by natural earth-surface processes that modify landforms and terrain structure.
-
B.
geomorphology
Indicates the study or characterization of landforms and the processes that shape the Earth's surface.
-
C.
geologicalFormation
Indicates that one entity is a geological structure or feature that characterizes or composes the physical makeup of another entity.
-
D.
geomorphologicalContext
chosen
Indicates the geomorphological setting or landform context in which a feature, process, or observation occurs (e.g., valley, plateau, coastal dune).
-
E.
geologicalFormationProcess
Indicates the natural geological process or set of processes by which a particular geological formation came into existence.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0227f2c48190983ccc9395e4e7a2 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.