Triple
T11284009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swanley railway station |
E267137
|
entity |
| Predicate | servedArea |
P82
|
FINISHED |
| Object | Swanley town |
E53388
|
NE FINISHED |
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: Swanley town | Statement: [Swanley railway station, servedArea, Swanley town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanley town Context triple: [Swanley railway station, servedArea, Swanley town]
-
A.
Swanley
chosen
Swanley is a town in the Sevenoaks District of Kent, England, situated on the southeastern outskirts of Greater London.
-
B.
Swanley Park
Swanley Park is a public recreational park in Swanley, Kent, featuring lakes, play areas, and open green spaces for community leisure and events.
-
C.
Cubitt Town
Cubitt Town is a residential district on the eastern side of the Isle of Dogs in London’s Docklands, known for its riverside housing and proximity to Canary Wharf.
-
D.
Yiewsley
Yiewsley is a suburban area in the London Borough of Hillingdon in west London, known for its residential character and proximity to waterways and transport links.
-
E.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9855e8881909bd301718cbd8ca1 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542c5fdb88190968831279eaeea49 |
completed | April 19, 2026, 9:01 p.m. |
Created at: April 8, 2026, 9:31 p.m.