Triple
T22552993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flimby railway station |
E557606
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Flimby |
—
|
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: Flimby | Statement: [Flimby railway station, serves, Flimby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flimby Context triple: [Flimby railway station, serves, Flimby]
-
A.
Flimby
chosen
Flimby is a coastal village in Cumbria, England, situated between Maryport and Workington on the Irish Sea.
-
B.
Bramfield
Bramfield is a small rural village in Suffolk, England, known for its historic church and traditional English countryside setting.
-
C.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
-
D.
Lambley
Lambley is a village and civil parish in the Gedling district of Nottinghamshire, England, known for its rural character and historic buildings.
-
E.
Horbury
Horbury is a town in West Yorkshire, England, historically part of the Wakefield area and known for its industrial heritage and parish church.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f775d308190b35a52310e9c84f7 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.