Triple
T19366718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballaugh |
E484420
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sulby |
—
|
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: Sulby | Statement: [Ballaugh, locatedNear, Sulby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulby Context triple: [Ballaugh, locatedNear, Sulby]
-
A.
Sulby
chosen
Sulby is a small village on the Isle of Man known for lying along the famous Snaefell Mountain Course used in the Isle of Man TT motorcycle races.
-
B.
Samlesbury
Samlesbury is a village in Lancashire, England, known for its historic Samlesbury Hall and its location near the River Ribble.
-
C.
Stockbury
Stockbury is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting near key road links.
-
D.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
-
E.
Scawby
Scawby is a rural village and civil parish in North Lincolnshire, England, known for its historic estate and traditional English countryside setting.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619ac26d4819095836d737b629cf1 |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.