Triple
T12555399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Stour (Worcestershire) |
E295200
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Cookley |
E610315
|
NE 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: Cookley | Statement: [River Stour (Worcestershire), flowsThrough, Cookley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cookley Context triple: [River Stour (Worcestershire), flowsThrough, Cookley]
-
A.
Cookley
chosen
Cookley is a village in Worcestershire, England, situated near Wolverley and known for its rural character and local community.
-
B.
Bickley
Bickley is a suburban residential area in the London Borough of Bromley, known for its leafy streets, large Victorian and Edwardian houses, and commuter links into central London.
-
C.
Checkley
Checkley is an English-origin surname historically associated with families in Britain and its former colonies.
-
D.
Cleland
Cleland is a village in North Lanarkshire, Scotland, known historically for its coal mining heritage and proximity to Motherwell and Wishaw.
-
E.
Conoley
Conoley is the surname of Jane Close Conoley, an American psychologist and academic administrator known for serving as president of California State University, Long Beach.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95490d2708190857f0cb9b8dd6a30 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65587524881908c933490bface976 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:46 p.m.