Triple
T1049223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Alyn |
E22654
|
entity |
| Predicate | hasCatchment |
P15963
|
FINISHED |
| Object | limestone uplands of northeast Wales |
—
|
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: limestone uplands of northeast Wales | Statement: [River Alyn, hasCatchment, limestone uplands of northeast Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchment Context triple: [River Alyn, hasCatchment, limestone uplands of northeast Wales]
-
A.
hasCatchmentArea
Indicates that a geographic or administrative unit serves as the area from which an entity (such as a facility or service) draws its users, resources, or influence.
-
B.
hasWatershed
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
-
C.
catchmentArea
chosen
Indicates the geographic area from which something (such as a facility, service, or natural feature) draws or collects people, resources, or water.
-
D.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
E.
hasRiverActivity
Indicates that an entity engages in, supports, or is associated with activities occurring on or along a river.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f28c7c8190b9ca3749666bcbf3 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b72e3e488190b768005ad647886b |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.