Triple
T10557428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sittingbourne and Sheppey |
E249123
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Teynham |
E768375
|
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: Teynham | Statement: [Sittingbourne and Sheppey, containsSettlement, Teynham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teynham Context triple: [Sittingbourne and Sheppey, containsSettlement, Teynham]
-
A.
Teynham
chosen
Teynham is a village and civil parish in the Swale district of Kent, England, known historically for its fruit-growing and hop-growing agriculture.
-
B.
Henham
Henham is a small rural village located in the English county of Suffolk.
-
C.
Totton
Totton is a town in Hampshire, England, situated near the River Test on the outskirts of the New Forest and close to the city of Southampton.
-
D.
Thelnetham
Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
-
E.
Wenham
Wenham is an English-origin surname borne by various notable individuals, including Australian actor David Wenham.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5271521a4819086d96e1f183ab07a |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b474a248190b46c31e8e0008f9f |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:35 p.m.