Triple
T12965277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peninsula campus |
E321244
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Frankston |
E635991
|
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: Frankston | Statement: [Peninsula campus, city, Frankston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankston Context triple: [Peninsula campus, city, Frankston]
-
A.
Frankston
chosen
Frankston is a coastal suburb in Melbourne, Victoria, known as a major residential and transport hub at the southeastern end of the metropolitan area.
-
B.
Prahran
Prahran is an inner-city suburb of Melbourne, Australia, known for its vibrant shopping, dining, and nightlife precincts along Chapel Street.
-
C.
Kilmore
Kilmore is a small settlement located in the Sleat peninsula area on the Isle of Skye in Scotland.
-
D.
Glen Waverley
Glen Waverley is a major residential and commercial suburb in Melbourne, Victoria, known for its busy shopping precincts, schools, and transport connections.
-
E.
Renmark
Renmark is a rural town in South Australia's Riverland region, known for its irrigated fruit production and location along the Murray River.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e30b7e88190ac07c91147b62d16 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e227948190a2d08db97b4e41aa |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:27 p.m.