Triple
T18833863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Shores |
E460603
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sandy Shores |
—
|
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: Sandy Shores | Statement: [Sandy Shores, name, Sandy Shores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy Shores Context triple: [Sandy Shores, name, Sandy Shores]
-
A.
Sandy Shores
Sandy Shores is a coastal-themed exhibit at the Oregon Coast Aquarium that showcases the plants and animals found along sandy beach habitats of the Pacific Northwest.
-
B.
Sandy Shores
chosen
Sandy Shores is a small, rundown desert town in Grand Theft Auto V’s Blaine County, known for its trailer parks, crime, and as a base of operations for Trevor Phillips.
-
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.
Seaside
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99b540c8190a29e5f9d56791d41 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.