Triple
T9908501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellinger River |
E185078
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Bellingen |
E114027
|
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: Bellingen | Statement: [Bellinger River, passesThrough, Bellingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellingen Context triple: [Bellinger River, passesThrough, Bellingen]
-
A.
Bellingen
chosen
Bellingen is a small, picturesque town in New South Wales, Australia, known for its lush hinterland setting, vibrant arts and music scene, and proximity to the Bellinger River and Dorrigo National Park.
-
B.
Woolgoolga
Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
-
C.
Boorowa
Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
-
D.
Dungog
Dungog is a small rural town in New South Wales, Australia, known for its historic architecture, dairy farming, and proximity to the Barrington Tops National Park.
-
E.
Berrima
Berrima is a historic village in New South Wales, Australia, known for its well-preserved colonial architecture and heritage-listed buildings.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50feb008190aa9c084f590c0ebd |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228a405908190ad63ebd659779ed7 |
completed | April 5, 2026, 9:17 a.m. |
Created at: March 30, 2026, 8:41 p.m.