Triple
T20381958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Haven Beach |
E497855
|
entity |
| Predicate | isAccessibleFrom |
P1985
|
FINISHED |
| Object | North Haven, New South Wales |
—
|
NE NERFINISHED |
How this triple was built (3 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: North Haven, New South Wales | Statement: [North Haven Beach, isAccessibleFrom, North Haven, New South Wales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Haven, New South Wales Context triple: [North Haven Beach, isAccessibleFrom, North Haven, New South Wales]
-
A.
Harrington, New South Wales
Harrington, New South Wales is a small coastal town in Australia known for its seaside holiday atmosphere, fishing, and access to nearby national parks and waterways.
-
B.
Harden, New South Wales
Harden, New South Wales is a small rural town in south-western New South Wales, Australia, known historically as a railway and agricultural service centre.
-
C.
Holsworthy, New South Wales
Holsworthy, New South Wales is a suburb in southwestern Sydney known for its large Australian Army military base and surrounding bushland.
-
D.
Merewether, New South Wales
Merewether, New South Wales is a coastal suburb of Newcastle known for its popular surf beaches, ocean baths, and relaxed seaside lifestyle.
-
E.
Aberdeen, New South Wales
Aberdeen, New South Wales is a small rural town in the Upper Hunter region of New South Wales, Australia, known for its agricultural and livestock industries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: North Haven, New South Wales Target entity description: North Haven, New South Wales is a coastal town on the Mid North Coast of Australia known for its relaxed seaside atmosphere and proximity to beaches and the Camden Haven River.
-
A.
Harrington, New South Wales
Harrington, New South Wales is a small coastal town in Australia known for its seaside holiday atmosphere, fishing, and access to nearby national parks and waterways.
-
B.
Harden, New South Wales
Harden, New South Wales is a small rural town in south-western New South Wales, Australia, known historically as a railway and agricultural service centre.
-
C.
Holsworthy, New South Wales
Holsworthy, New South Wales is a suburb in southwestern Sydney known for its large Australian Army military base and surrounding bushland.
-
D.
Merewether, New South Wales
Merewether, New South Wales is a coastal suburb of Newcastle known for its popular surf beaches, ocean baths, and relaxed seaside lifestyle.
-
E.
Aberdeen, New South Wales
Aberdeen, New South Wales is a small rural town in the Upper Hunter region of New South Wales, Australia, known for its agricultural and livestock industries.
- F. None of above. chosen
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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b0ee708190bdbe4aab28a61525 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.