Triple
T21246331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somerset coast |
E523618
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Berrow |
—
|
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: Berrow | Statement: [Somerset coast, hasTown, Berrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berrow Context triple: [Somerset coast, hasTown, Berrow]
-
A.
Berrow
chosen
Berrow is a coastal village in Somerset, England, known for its long sandy beach, dunes, and proximity to the resort town of Burnham-on-Sea.
-
B.
Yewbarrow
Yewbarrow is a distinctive, steep-sided fell in England’s Lake District, known for its striking profile above Wast Water in Wasdale.
-
C.
Inkberrow
Inkberrow is a picturesque village in Worcestershire, England, often noted as the inspiration for the fictional village of Ambridge in the BBC radio series "The Archers."
-
D.
Beauraing
Beauraing is a small town in the Wallonia region of Belgium, known as a Catholic pilgrimage site due to reported Marian apparitions in the early 1930s.
-
E.
Baverstock
Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359abdac81908b74dad1b8cc0aa9 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:51 p.m.