Triple
T23166677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishopton railway station |
E578728
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bishopton |
—
|
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: Bishopton | Statement: [Bishopton railway station, locatedIn, Bishopton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bishopton Context triple: [Bishopton railway station, locatedIn, Bishopton]
-
A.
Bishopton
chosen
Bishopton is a village in western Scotland known for its rural character and proximity to the River Clyde and the city of Glasgow.
-
B.
Buellton
Buellton is a small city in California’s Santa Ynez Valley known for its wineries, roadside attractions, and role as a gateway to the Santa Barbara wine country.
-
C.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
-
D.
Ashopton
Ashopton was a village in Derbyshire, England, that was submerged in the mid-20th century during the creation of Ladybower Reservoir.
-
E.
Battisford
Battisford is a small rural village and civil parish located in the English county of Suffolk.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2c923c81908b58811fffdcf932 |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.