Triple
T22006437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramsbury |
E543459
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kennet Valley |
—
|
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: Kennet Valley | Statement: [Ramsbury, locatedIn, Kennet Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kennet Valley Context triple: [Ramsbury, locatedIn, Kennet Valley]
-
A.
Kennet Valley
chosen
Kennet Valley is a river valley in southern England shaped by the River Kennet, known for its rural landscapes, historic settlements, and ecological significance.
-
B.
Kennet
Kennet is a small village located within the Clackmannanshire council area in central Scotland.
-
C.
Chesterfield Valley
Chesterfield Valley is a major commercial and retail hub in Chesterfield, Missouri, known for its extensive shopping centers, big-box stores, and dining options.
-
D.
Dyle Valley
Dyle Valley is a scenic river valley in central Belgium known for its natural landscapes, wetlands, and historic towns along the Dyle River.
-
E.
Lea Valley
Lea Valley is a river valley and geographic region in southeast England, following the River Lea through parts of Greater London and surrounding counties and known for its mix of industrial heritage, green spaces, and urban development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.