Triple
T5554545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenterden |
E145605
|
entity |
| Predicate | hasPostTown |
P2711
|
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: [Tenterden, hasPostTown, TENTERDEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TENTERDEN Context triple: [Tenterden, hasPostTown, 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.
Ockendon
Ockendon is a settlement in the borough of Thurrock in Essex, England, known for its suburban character and proximity to London.
-
C.
Thorpeness
Thorpeness is a quirky seaside village on the Suffolk coast of England, known for its mock-Tudor holiday homes, boating Meare, and the iconic House in the Clouds.
-
D.
Brightlingsea
Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
-
E.
Faversham
Faversham is a historic market town in Kent, England, known for its medieval architecture, maritime heritage, and long-standing brewing industry.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffaf4fc8190bf27014d21954a70 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d01a9948190a033947c7c031e04 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:36 p.m.