Triple
T6090648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanawha Section |
E135753
|
entity |
| Predicate | hasDrainagePattern |
P3558
|
FINISHED |
| Object | dendritic drainage |
—
|
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: dendritic drainage | Statement: [Kanawha Section, hasDrainagePattern, dendritic drainage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrainagePattern Context triple: [Kanawha Section, hasDrainagePattern, dendritic drainage]
-
A.
drainagePattern
chosen
Indicates the characteristic spatial arrangement and connectivity of natural or artificial drainage features (such as streams, channels, or pipes) within an area.
-
B.
hasPavementPattern
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
-
C.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
-
D.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
E.
hasWatershedCharacteristic
Indicates that a watershed possesses a specified characteristic, feature, or property.
- 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.