Triple
T21289151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sand Bay |
E524739
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Worle |
—
|
NE NERFINISHED |
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: Worle | Statement: [Sand Bay, hasNearbySettlement, Worle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worle Context triple: [Sand Bay, hasNearbySettlement, Worle]
-
A.
Worle
chosen
Worle is a suburban area near Weston-super-Mare in North Somerset, England, known primarily as a residential community with rail links to surrounding regions.
-
B.
Worstead
Worstead is a small rural village and railway stop in Norfolk, England, situated on the Bittern Line between Norwich and the North Norfolk coast.
-
C.
Selworthy
Selworthy is a picturesque village in Somerset, England, known for its thatched cottages, scenic views within Exmoor National Park, and traditional English rural character.
-
D.
Southwold
Southwold is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
-
E.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d882408190a2300327cb73b7f6 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.