Triple
T10578555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bongil Bongil National Park |
E249673
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sawtell |
E115671
|
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: Sawtell | Statement: [Bongil Bongil National Park, locatedNear, Sawtell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sawtell Context triple: [Bongil Bongil National Park, locatedNear, Sawtell]
-
A.
Sawtell
chosen
Sawtell is a coastal town in New South Wales, Australia, known for its beaches, headlands, and relaxed holiday atmosphere.
-
B.
Onslow
Onslow is a remote coastal town in Western Australia’s Pilbara region, known for its role in the local resources industry and as a gateway to nearby marine and outback attractions.
-
C.
Mauldin
Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
-
D.
Mauldin
Mauldin is the surname of American music producer, songwriter, and record executive Jermaine Dupri.
-
E.
Tenneville
Tenneville is a rural municipality in the Ardennes region of southern Belgium, known for its forests and small villages.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52757b870819085b03aa6805aa076 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b6f43f4819092557d1c6039324a |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:38 p.m.