Triple
T11198205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byron Shire |
E264974
|
entity |
| Predicate | containsLocality |
P45140
|
FINISHED |
| Object | Ocean Shores |
E811600
|
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: Ocean Shores | Statement: [Byron Shire, containsLocality, Ocean Shores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean Shores Context triple: [Byron Shire, containsLocality, Ocean Shores]
-
A.
Ocean Shores
Ocean Shores is a small coastal city in Washington State known for its long sandy beaches, seaside resorts, and access to Pacific Ocean recreation.
-
B.
Ocean Shores
chosen
Ocean Shores is a coastal town in the Northern Rivers region of New South Wales, Australia, known for its beaches and relaxed residential atmosphere.
-
C.
Pacific Shores
Pacific Shores is a marine-themed exhibit at the Oregon Zoo featuring coastal wildlife and habitats from the Pacific Ocean.
-
D.
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."
-
E.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c082fc8190866c574f698b59ef |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4841038e48190bc6efdf91c8a8199 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 8, 2026, 9:29 p.m.