Triple
T24139368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humber river system |
E598180
|
entity |
| Predicate | drainageAreaTo |
P4497
|
FINISHED |
| Object | North Sea |
—
|
NE NERFINISHED |
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: North Sea | Statement: [Humber river system, drainageAreaTo, North Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageAreaTo Context triple: [Humber river system, drainageAreaTo, North Sea]
-
A.
drainageAreaFeature
Indicates the geographic feature or area from which water drains into a particular water body or drainage system.
-
B.
drainsAreaOf
Indicates that one entity serves as a drainage outlet or basin for another entity, carrying away its surface or groundwater.
-
C.
drainageAreaApprox
Indicates that one entity has an approximate drainage area measured or characterized by the other entity.
-
D.
drainsInto
chosen
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
-
E.
drainageBasinArea
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e004fd38819080135a069e98a3e1 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:28 p.m.