Triple
T18111310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton to Portsmouth line |
E433480
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Southbourne |
—
|
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: Southbourne | Statement: [Brighton to Portsmouth line, passesThrough, Southbourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southbourne Context triple: [Brighton to Portsmouth line, passesThrough, Southbourne]
-
A.
Southbourne
chosen
Southbourne is a village and civil parish in West Sussex, England, situated near Chichester on the south coast.
-
B.
Southbourne
Southbourne is a coastal suburb in the Bournemouth area of Dorset, England, known for its sandy beaches and residential character.
-
C.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
-
D.
Portchester
Portchester is a village in Hampshire, England, known for its historic Roman fort and as the birthplace of author Neil Gaiman.
-
E.
Brimpton
Brimpton is a rural village and civil parish in West Berkshire, England, known for its historic churches and 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd2038081909515fb6d17495cbf |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.