Triple
T19673161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Australia |
E472384
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Bunbury |
—
|
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: Bunbury | Statement: [Southwestern Australia, hasMajorCity, Bunbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunbury Context triple: [Southwestern Australia, hasMajorCity, Bunbury]
-
A.
Bunbury
chosen
Bunbury is a coastal city in Western Australia known as a regional port and commercial hub south of Perth.
-
B.
Bunbury
Bunbury is a Spanish rock musician and singer-songwriter, best known as the former frontman of Héroes del Silencio and for his influential solo career in Latin rock.
-
C.
Wooster
Wooster is a small city in northeastern Ohio known for hosting the College of Wooster and serving as the seat of Wayne County.
-
D.
Hotton
Hotton is a small Belgian town in the Ardennes region, known for its scenic riverside setting, caves, and outdoor recreation along the Ourthe River.
-
E.
Milverton
Milverton is a historic village in Somerset, England, known for its traditional rural character and medieval parish church.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416d61008190af531c6d346d7da1 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.