Triple
T533392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Coast |
E12273
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Wyong
Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
|
E66914
|
NE FINISHED |
How this triple was built (4 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: [Central Coast, hasCity, Wyong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyong Context triple: [Central Coast, hasCity, Wyong]
-
A.
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.
-
B.
Narrandera
Narrandera is a rural town in the Riverina region of New South Wales, Australia, known for its agricultural production and historic riverside setting.
-
C.
Port Stephens
Port Stephens is a large natural harbour and popular coastal tourist destination on the New South Wales mid-north coast of Australia, known for its beaches, marine life, and water-based recreation.
-
D.
Deniliquin
Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
-
E.
Nambucca Heads
Nambucca Heads is a coastal town in New South Wales, Australia, known for its scenic river estuary, beaches, and role as a popular holiday destination.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wyong Triple: [Central Coast, hasCity, Wyong]
Generated description
Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wyong Target entity description: Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
-
A.
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.
-
B.
Narrandera
Narrandera is a rural town in the Riverina region of New South Wales, Australia, known for its agricultural production and historic riverside setting.
-
C.
Port Stephens
Port Stephens is a large natural harbour and popular coastal tourist destination on the New South Wales mid-north coast of Australia, known for its beaches, marine life, and water-based recreation.
-
D.
Deniliquin
Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
-
E.
Nambucca Heads
Nambucca Heads is a coastal town in New South Wales, Australia, known for its scenic river estuary, beaches, and role as a popular holiday destination.
- F. None of above. chosen
Provenance (5 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a494e0ab1881909d0cea4dfaa34b0a |
completed | March 1, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c030883081909c8f32b7af85f8a6 |
completed | March 1, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69a4c1e5e59c8190990acfff39566536 |
completed | March 1, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4c26757c081908e8521968517d50c |
completed | March 1, 2026, 10:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.