Triple
T13283320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babbacombe |
E316375
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Oddicombe Beach |
E316374
|
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: Oddicombe Beach | Statement: [Babbacombe, hasAttraction, Oddicombe Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oddicombe Beach Context triple: [Babbacombe, hasAttraction, Oddicombe Beach]
-
A.
Oddicombe Beach
chosen
Oddicombe Beach is a popular shingle and sand beach beneath red sandstone cliffs on the English Riviera in Torquay, Devon, known for its scenic views and cliff railway access.
-
B.
Seaside
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
-
C.
Seaside
Seaside is a master-planned beach town on Florida’s Gulf Coast, known for its pastel cottages, walkable New Urbanist design, and appearance in the film "The Truman Show."
-
D.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
-
E.
Silver Beach
Silver Beach is a famous scenic seaside resort area in Beihai, China, renowned for its fine white sand and gentle coastal waters.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99047531c819087aa6406de1ddc82 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a592d748190b55129515f71e979 |
completed | May 3, 2026, 8:42 a.m. |
Created at: April 9, 2026, 9:27 p.m.