Triple
T13359000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent coalfield |
E318772
|
entity |
| Predicate | economicImpactOn |
P2313
|
FINISHED |
| Object | east Kent |
E297291
|
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: east Kent | Statement: [Kent coalfield, economicImpactOn, east Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: east Kent Context triple: [Kent coalfield, economicImpactOn, east Kent]
-
A.
East Kent
chosen
East Kent is a region in the eastern part of Kent, England, encompassing several historic towns and coastal communities.
-
B.
southeast Kent
Southeast Kent is a subregion of the English county of Kent, located in the far southeast of England and known for its coastal towns, rural landscapes, and proximity to continental Europe.
-
C.
north-west Kent
North-west Kent is a subregion of the English county of Kent, lying on the southeastern fringe of Greater London and encompassing towns such as Gravesend and Dartford.
-
D.
Mid Kent
Mid Kent is a region in the central part of the English county of Kent, situated between its coastal areas and the London commuter belt.
-
E.
West Kent
West Kent is a sub-region of the English county of Kent, encompassing towns such as Maidstone and Tunbridge Wells and serving as an administrative and healthcare catchment area.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7267ab580819091577c24dd952c99 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:32 p.m.