Triple
T19560176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gash River |
E489426
|
entity |
| Predicate | landUseAlongCourse |
P37665
|
FINISHED |
| Object | irrigated agriculture |
—
|
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: irrigated agriculture | Statement: [Gash River, landUseAlongCourse, irrigated agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landUseAlongCourse Context triple: [Gash River, landUseAlongCourse, irrigated agriculture]
-
A.
landUsedFor
Indicates that a particular area of land is utilized or designated for a specific purpose or activity.
-
B.
landUseIncludes
chosen
Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
-
C.
landUseChangeTo
Indicates a transition in how a piece of land is used, from its previous use to a new designated use.
-
D.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
E.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f731ae48190ade295c15db7f8ed |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.