Triple
T13505704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folkestone and Hythe District |
E321009
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Old Romney |
E819621
|
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: Old Romney | Statement: [Folkestone and Hythe District, contains, Old Romney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Romney Context triple: [Folkestone and Hythe District, contains, Old Romney]
-
A.
Old Romney
chosen
Old Romney is a small historic village in Kent, England, situated on the low-lying Romney Marsh near the English Channel coast.
-
B.
New Romney
New Romney is a historic small town in Kent, England, that was once one of the principal Cinque Ports and an important medieval maritime and trading center.
-
C.
Stonely
Stonely is a small village in Cambridgeshire, England, situated close to the town of Kimbolton.
-
D.
Ranburne
Ranburne is a small town in eastern Alabama known for its rural character and close-knit community.
-
E.
Bygrave
Bygrave is a small rural village in the North Hertfordshire district of Hertfordshire, England, known for its historic church and surrounding farmland.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7548bc188819090773db66b0103a1 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.