Triple
T33440642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Aire basin |
E856351
|
entity |
| Predicate | flowsThroughLandscapeType |
P89063
|
FINISHED |
| Object | urban areas |
—
|
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: urban areas | Statement: [River Aire basin, flowsThroughLandscapeType, urban areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsThroughLandscapeType Context triple: [River Aire basin, flowsThroughLandscapeType, urban areas]
-
A.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
B.
flowsAround
Indicates that one entity moves in a continuous, typically fluid motion encircling or passing on multiple sides around another entity.
-
C.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
D.
flowsThroughRegionType
chosen
Indicates that something such as a fluid, current, or pathway passes through and traverses a specified type of region.
-
E.
flowsBeside
Indicates that one entity moves or runs alongside another entity in close proximity without crossing or intersecting it.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:37 a.m.