Triple
T6671207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolverley |
E151732
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
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: [Wolverley, hasNearbySettlement, Cookley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cookley Context triple: [Wolverley, hasNearbySettlement, 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.
Cleland
Cleland is a village in North Lanarkshire, Scotland, known historically for its coal mining heritage and proximity to Motherwell and Wishaw.
-
D.
Collen
Collen is a surname most notably associated with Nicki Collen, an American basketball coach.
-
E.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c9163c8190ad959172a8458619 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79f1718819098d8a6d08bf7f919 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:03 p.m.