Triple
T9147380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | north-west Kent |
E219491
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Swanscombe |
E808228
|
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: Swanscombe | Statement: [north-west Kent, containsTown, Swanscombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanscombe Context triple: [north-west Kent, containsTown, Swanscombe]
-
A.
Swanscombe
chosen
Swanscombe is a town in Kent, England, known for its archaeological significance and proximity to major transport links including Ebbsfleet International railway station.
-
B.
Sedlescombe
Sedlescombe is a rural village and civil parish in East Sussex, England, known for its traditional village green and surrounding countryside.
-
C.
Beckenham
Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
-
D.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
E.
Lydd
Lydd is a small historic town in Kent, England, situated on the Romney Marsh and known for its medieval church and proximity to the English Channel.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca918a3c881909c34a6a682eb2625 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f50f1c4819099a9c511f58e9873 |
completed | April 4, 2026, 11:31 p.m. |
Created at: March 30, 2026, 7:20 p.m.