Triple
T21049912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendine |
E518548
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Pendine Sands |
—
|
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: Pendine Sands | Statement: [Pendine, hasBeach, Pendine Sands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pendine Sands Context triple: [Pendine, hasBeach, Pendine Sands]
-
A.
Pendine Sands
chosen
Pendine Sands is a long, flat beach in Carmarthenshire, Wales, famed for its historic land speed record attempts and expansive sandy shoreline.
-
B.
Goodrington Sands
Goodrington Sands is a popular sandy beach and seaside resort area on the English Riviera in Paignton, Devon, known for its family-friendly attractions and coastal scenery.
-
C.
Camber Sands
Camber Sands is a popular sandy beach on the East Sussex coast of England, known for its extensive dunes and seaside recreation.
-
D.
Alnmouth Beach
Alnmouth Beach is a wide, sandy shoreline on the Northumberland coast of England, known for its scenic dunes, estuary views, and popularity with walkers and holidaymakers.
-
E.
Sizewell Beach
Sizewell Beach is a shingle shoreline on the Suffolk coast of England, known for its proximity to the Sizewell nuclear power stations and its quiet, undeveloped seafront.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7a5cf48190939aefaa44db1ddb |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:34 p.m.