Triple
T33440726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Colne at Huddersfield |
E856353
|
entity |
| Predicate | environmentalUse |
P158130
|
FINISHED |
| Object | urban green corridor |
—
|
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 green corridor | Statement: [River Colne at Huddersfield, environmentalUse, urban green corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentalUse Context triple: [River Colne at Huddersfield, environmentalUse, urban green corridor]
-
A.
environmentalFocus
Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
-
B.
environmentalMedium
Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
-
C.
environmentIncludes
chosen
Indicates that a given environment contains, encompasses, or has within it the specified entity or component.
-
D.
environmentTheme
Indicates that one entity thematically concerns or focuses on environmental topics or issues in relation to another entity.
-
E.
environmentalConnection
Indicates a relationship where one entity affects, is affected by, or is contextually linked to another through environmental factors, conditions, or impacts.
- 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_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:37 a.m.