Triple
T15048542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1 (New South Wales) |
E379292
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Wyong |
E66914
|
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: Wyong | Statement: [M1 (New South Wales), passesNear, Wyong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyong Context triple: [M1 (New South Wales), passesNear, Wyong]
-
A.
Wyong
chosen
Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
-
B.
Woolgoolga
Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
-
C.
Gerringong
Gerringong is a coastal town in New South Wales, Australia, known for its scenic beaches, dairy farming countryside, and relaxed seaside atmosphere.
-
D.
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.
-
E.
Menindee
Menindee is a small town in western New South Wales, Australia, known for its historic river port heritage and proximity to the Menindee Lakes system.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ec7a4748190822e66a756bc95b9 |
completed | May 10, 2026, 11:40 a.m. |
Created at: April 10, 2026, 3 a.m.