Triple
T3183393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brisbane Water |
E66642
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Woy Woy |
E67442
|
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: Woy Woy | Statement: [Brisbane Water, adjacentTo, Woy Woy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woy Woy Context triple: [Brisbane Water, adjacentTo, Woy Woy]
-
A.
Woy Woy
chosen
Woy Woy is a coastal town in New South Wales, Australia, known for its waterways, relaxed lifestyle, and role as a popular holiday and commuter destination.
-
B.
Wollombi
Wollombi is a small historic village in the Hunter Region of New South Wales, Australia, known for its colonial-era buildings, wineries, and scenic rural setting.
-
C.
Wyong
Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
-
D.
Woolgoolga
Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
-
E.
Kurri Kurri
Kurri Kurri is a town in the Hunter Region of New South Wales, Australia, historically known for its coal mining industry and strong working-class heritage.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bea1788190bbce7cb52f8e72e8 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2360079e4819085ee8b6553e3da02 |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.