Triple
T35233704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Rock Valley |
E1017311
|
entity |
| Predicate | hasGeomorphologicalForm |
P130093
|
FINISHED |
| Object | fluvial valley |
—
|
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 valley | Statement: [White Rock Valley, hasGeomorphologicalForm, fluvial valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeomorphologicalForm Context triple: [White Rock Valley, hasGeomorphologicalForm, fluvial valley]
-
A.
hasGeomorphologicalRole
Indicates that one entity plays a specific geomorphological role in shaping, influencing, or characterizing the form and evolution of another entity’s landform or surface features.
-
B.
hasGeomorphologicalInterest
Indicates that something possesses notable geomorphological features or characteristics that make it of scientific or conservation interest.
-
C.
geomorphicType
chosen
Indicates the classification of a geographic feature based on its landform or geomorphic characteristics.
-
D.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
E.
geologicalFormation
Indicates that one entity is a geological structure or feature that characterizes or composes the physical makeup of another entity.
- 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:02 p.m.