Triple
T16604332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional New South Wales |
E403412
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | South Coast |
E11469
|
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: South Coast | Statement: [Regional New South Wales, hasPart, South Coast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Coast Context triple: [Regional New South Wales, hasPart, South Coast]
-
A.
South Coast
The South Coast is a popular coastal region of KwaZulu-Natal, South Africa, known for its beaches, subtropical climate, and holiday resorts along the Indian Ocean.
-
B.
South Coast
chosen
South Coast is a coastal region of New South Wales, Australia, known for its beaches, national parks, and popular holiday towns.
-
C.
South Coast
South Coast is the southernmost stretch of California’s coastline, known for its major cities, beaches, and Mediterranean climate.
-
D.
Surf Coast
Surf Coast is a scenic coastal region in southwestern Victoria, Australia, renowned for its surf beaches, seaside towns, and as the gateway to the Great Ocean Road.
-
E.
Central Coast
Central Coast is a coastal region of New South Wales, Australia, known for its beaches, lakes, and commuter towns between Sydney and Newcastle.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3608ff1a481909084e7ad984b0f95 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daa9f7c8190a9540d9a7a6ca6fb |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.