Triple
T17751197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wreck Bay Village |
E443116
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Huskisson |
—
|
NE NERFINISHED |
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: Huskisson | Statement: [Wreck Bay Village, near, Huskisson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huskisson Context triple: [Wreck Bay Village, near, Huskisson]
-
A.
Huskisson
chosen
Huskisson is a small coastal town on the shores of Jervis Bay in New South Wales, Australia, known for its beaches, marine tourism, and access to nearby national parks.
-
B.
Burton Latimer
Burton Latimer is a small market town in North Northamptonshire, England, known for its historic milling industry and local manufacturing.
-
C.
Horsley
Horsley is an English surname borne by various notable individuals across fields such as science, the arts, and public life.
-
D.
Halton Gill
Halton Gill is a small rural hamlet in the Yorkshire Dales of North Yorkshire, England, known for its scenic upland landscapes and traditional stone-built farmsteads.
-
E.
William Huskisson
William Huskisson was a British statesman and economist known for his influential role in promoting free trade and economic reform in the early 19th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841a401c8190ae1dc0ed7ae4cc26 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.