Triple
T6863521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranbourne line |
E158339
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Dandenong |
E94470
|
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: Dandenong | Statement: [Cranbourne line, serves, Dandenong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dandenong Context triple: [Cranbourne line, serves, Dandenong]
-
A.
Dandenong, Victoria
chosen
Dandenong, Victoria is a suburb in Melbourne, Australia, known historically as an industrial and manufacturing hub.
-
B.
Kilmore
Kilmore is a small settlement located in the Sleat peninsula area on the Isle of Skye in Scotland.
-
C.
Tullamarine, Victoria
Tullamarine, Victoria is a suburb in Melbourne best known as the location of the city’s primary international airport.
-
D.
Cranbourne
Cranbourne is a suburb in Melbourne, Victoria, Australia, known for its residential growth and attractions such as the Royal Botanic Gardens Cranbourne.
-
E.
Kurrajong
Kurrajong is an electorate of the Australian Capital Territory Legislative Assembly that covers central Canberra and surrounding suburbs.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8897cf48190a2f688d21f1f6c1a |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748bcb4048190b3860ffdd962d48c |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:21 p.m.