Triple
T3484740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of South Australia |
E73579
|
entity |
| Predicate | campus |
P269
|
FINISHED |
| Object | Mount Gambier |
E305140
|
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: Mount Gambier | Statement: [University of South Australia, campus, Mount Gambier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Gambier Context triple: [University of South Australia, campus, Mount Gambier]
-
A.
Mount Gambier
chosen
Mount Gambier is a regional city in South Australia known for its volcanic landscape, including the famous Blue Lake, and its role as a commercial and service hub for the surrounding Limestone Coast region.
-
B.
Manjimup
Manjimup is a rural town in Western Australia known for its timber industry, agriculture, and truffle production.
-
C.
Benambra
Benambra is a Victorian state electoral district in Australia that covers a large rural area in the state's northeast, including the city of Wodonga.
-
D.
Merimbula
Merimbula is a coastal town in New South Wales, Australia, known for its beaches, lakes, and role as a popular holiday destination on the Sapphire Coast.
-
E.
Jindabyne
Jindabyne is a town in New South Wales, Australia, known as a major gateway to the Snowy Mountains ski fields and Kosciuszko National Park.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb795db88190805b26d9774fdb73 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373b5086081908ee4491860597557 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:17 p.m.