Triple
T13038280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Currimundi Beach |
E326620
|
entity |
| Predicate | hasNearbySuburb |
P41355
|
FINISHED |
| Object | Dicky Beach |
E319347
|
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: Dicky Beach | Statement: [Currimundi Beach, hasNearbySuburb, Dicky Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dicky Beach Context triple: [Currimundi Beach, hasNearbySuburb, Dicky Beach]
-
A.
Dicky Beach
chosen
Dicky Beach is a coastal suburb and popular surf beach in the Caloundra region of Queensland, Australia, known for its relaxed atmosphere and seaside recreation.
-
B.
Dameisha Beach
Dameisha Beach is a popular seaside resort area in Shenzhen, China, known for its long sandy shoreline, swimming, and coastal recreation.
-
C.
Handkerchief Beach
Handkerchief Beach is a coastal beach near Narooma on the South Coast of New South Wales, Australia, known for its scenic shoreline and relatively quiet, natural setting.
-
D.
Buccaneer Beach
Buccaneer Beach is a small, family-friendly beach in Oceanside, California, known for its relaxed atmosphere, nearby park, and easy coastal access.
-
E.
Back Beach
Back Beach is a coastal beach area located in or near the town of Woolgoolga in New South Wales, Australia.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804b743c8190810dc5c14bc6d912 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7396e6cf881908b4cc3836501ed08 |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 9, 2026, 8:55 p.m.