Triple
T22978005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soldiers Point |
E571377
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Mallabula |
—
|
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: Mallabula | Statement: [Soldiers Point, nearbyLocality, Mallabula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallabula Context triple: [Soldiers Point, nearbyLocality, Mallabula]
-
A.
Mallabula
chosen
Mallabula is a small coastal town on the Tilligerry Peninsula in New South Wales, Australia, known for its waterfront reserves and tranquil residential character.
-
B.
Mudjimba
Mudjimba is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and relaxed seaside atmosphere.
-
C.
Yamba
Yamba is a coastal town in northern New South Wales, Australia, known for its beaches, fishing, and laid-back holiday atmosphere.
-
D.
Buala
Buala is a small coastal town in the Solomon Islands that serves as the administrative and commercial center of Santa Isabel Island.
-
E.
Marranunga
Marranunga is an Aboriginal Australian people traditionally associated with the Daly River region of the Northern Territory.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.