Triple
T13620775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wells-next-the-Sea |
E325443
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Blakeney |
E788856
|
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: Blakeney | Statement: [Wells-next-the-Sea, near, Blakeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blakeney Context triple: [Wells-next-the-Sea, near, Blakeney]
-
A.
Blakeney
chosen
Blakeney is a coastal village and popular tourist destination in Norfolk, England, known for its picturesque harbour, salt marshes, and wildlife-rich nature reserves.
-
B.
Blakeney Point
Blakeney Point is a coastal nature reserve on the north Norfolk coast of England, renowned for its sand dunes, salt marshes, and large grey seal colony.
-
C.
Blakeney Harbour
Blakeney Harbour is a tidal harbour on the north Norfolk coast of England, known for its salt marshes, creeks, and wildlife-rich coastal landscape.
-
D.
Burlington Beach
Burlington Beach is a sandbar and recreational waterfront area on Lake Ontario in Burlington, Ontario, known for its beaches, trails, and lakeside activities.
-
E.
Onslow Beach
Onslow Beach is a coastal training and recreation area located along the Atlantic shoreline within Marine Corps Base Camp Lejeune in North Carolina.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0b0c9008190836242da2d6a8cbe |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa291f48190a0ee7a228ea303bc |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.