Triple
T20411920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kewstoke |
E500605
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Sand Bay |
—
|
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: Sand Bay | Statement: [Kewstoke, hasBeach, Sand Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sand Bay Context triple: [Kewstoke, hasBeach, Sand Bay]
-
A.
Sand Bay
chosen
Sand Bay is a coastal village and sandy beach near Weston-super-Mare in North Somerset, England, known for its quiet, traditional seaside character.
-
B.
Silversands Bay
Silversands Bay is a popular sandy beach and coastal recreation area near Aberdour on the Firth of Forth in Scotland.
-
C.
Rovo Bay
Rovo Bay is a small settlement associated with the locality of Epi, likely situated along a coastal bay area.
-
D.
Boomerang Bay
Boomerang Bay was an Australian-themed water park area that once operated within the Carowinds amusement park in the Carolinas.
-
E.
Stone Bay
Stone Bay is a major U.S. Marine Corps training area at Camp Lejeune, best known for its extensive weapons ranges and marksmanship facilities.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3f8fdc8190b05b6c41b38f34b7 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.