Triple
T7282951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yerrabi |
E163794
|
entity |
| Predicate | includesSuburb |
P41355
|
FINISHED |
| Object | Palmerston |
E60400
|
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: Palmerston | Statement: [Yerrabi, includesSuburb, Palmerston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palmerston Context triple: [Yerrabi, includesSuburb, Palmerston]
-
A.
Palmerston
Palmerston was a prominent 19th-century British statesman and Prime Minister known for his assertive foreign policy and support for liberal and nationalist movements in Europe.
-
B.
Palmerston
Palmerston is a small rural community in southwestern Ontario, Canada, known historically as a railway town within Wellington County.
-
C.
Palmerston
chosen
Palmerston is a planned satellite city near Darwin in Australia's Northern Territory, known for its residential communities and role as a regional service hub.
-
D.
Gladstone
Gladstone is a small riverside village in New South Wales, Australia, known for its heritage buildings, arts community, and scenic setting along the Macleay River.
-
E.
Gladstone
Gladstone is a coastal city and industrial port in central Queensland, Australia, known for its major shipping facilities and heavy industry.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4ec2088190a6713eaa221d49a6 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3ae6a08190820c7096cbfea521 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.