Triple
T6030395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashton Memorial |
E134286
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Lancashire |
E5501
|
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: Lancashire | Statement: [Ashton Memorial, region, Lancashire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lancashire Context triple: [Ashton Memorial, region, Lancashire]
-
A.
Lancashire
chosen
Lancashire is a historic county in North West England known for its role in the Industrial Revolution and major towns such as Lancaster, Preston, and Blackpool.
-
B.
Merseyside
Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
-
C.
Cumbria
Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
-
D.
West Lancashire
West Lancashire is a local government district and borough in Lancashire, England, encompassing rural villages, market towns, and parts of the West Lancashire Plain.
-
E.
Yorkshire
Yorkshire is a historic county in northern England known for its large size, distinctive cultural identity, and significant role in British political, industrial, and literary history.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0561121708190a904e52aa3484988 |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cefa21081909defda4da9278116 |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:08 p.m.