Triple
T2137043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashford |
E46676
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Tenterden |
E145605
|
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: Tenterden | Statement: [Ashford, nearbyTown, Tenterden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenterden Context triple: [Ashford, nearbyTown, Tenterden]
-
A.
Tenterden
chosen
Tenterden is a historic market town in Kent, England, known for its traditional high street, heritage railway, and surrounding Wealden countryside.
-
B.
Birchington-on-Sea
Birchington-on-Sea is a coastal village and seaside resort on the north coast of Kent, England, known for its beaches and Victorian-era connections to artists and holidaymakers.
-
C.
Hythe
Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
-
D.
Leysdown-on-Sea
Leysdown-on-Sea is a small seaside resort village on the Isle of Sheppey in Kent, England, known for its beaches, holiday parks, and traditional coastal attractions.
-
E.
Alnmouth
Alnmouth is a coastal village in Northumberland, England, known for its scenic beach, historic harbor, and role as a small railway stop on the route between Newcastle and Edinburgh.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdff9254819094d27405478e29a0 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6533c7f081909860c89a2a53ad49 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:44 p.m.