Triple
T18580561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southbury railway station |
E454100
|
entity |
| Predicate | servedTo |
P50377
|
FINISHED |
| Object | Cheshunt |
—
|
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: Cheshunt | Statement: [Southbury railway station, servedTo, Cheshunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheshunt Context triple: [Southbury railway station, servedTo, Cheshunt]
-
A.
Cheshunt
chosen
Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
-
B.
Hoddesdon
Hoddesdon is a historic market town in southern England known for its traditional high street, commuter links to London, and proximity to the River Lea.
-
C.
Radlett
Radlett is a prosperous commuter village in southern England, situated between St Albans and London within the county of Hertfordshire.
-
D.
Loughton
Loughton is a suburban town in southeast England known for its proximity to Epping Forest and its role as a commuter hub within the London metropolitan area.
-
E.
Epping
Epping is a market town in the Epping Forest district of Essex, England, known for its historic high street and proximity to the ancient Epping Forest.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cf33288190bc2cd6b7befde944 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.