Triple
T9912267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Saints Church, Birchington-on-Sea |
E185172
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Thanet |
E226268
|
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: Thanet | Statement: [All Saints Church, Birchington-on-Sea, locatedIn, Thanet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thanet Context triple: [All Saints Church, Birchington-on-Sea, locatedIn, Thanet]
-
A.
Thanet
chosen
Thanet is a district on the eastern tip of Kent in southeast England, known for its coastal towns, maritime heritage, and seaside tourism.
-
B.
Brightlingsea
Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
-
C.
Willingdon
Willingdon is a village in East Sussex, England, situated near the town of Hailsham.
-
D.
Maidenhead
Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
-
E.
Sandys
Sandys is the surname of Frederic Sandys, a 19th-century British painter and illustrator associated with the Pre-Raphaelite movement.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5391b8081908094b88cdde4b55a |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dcbf28c8190aa9f6a8be423670a |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.