Triple
T19378245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torquay, Victoria |
E484727
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Anglesea |
—
|
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: Anglesea | Statement: [Torquay, Victoria, near, Anglesea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anglesea Context triple: [Torquay, Victoria, near, Anglesea]
-
A.
Anglesea
chosen
Anglesea is a coastal town in Victoria, Australia, known for its beaches, surf breaks, and scenic bushland along the state’s southwest coast.
-
B.
Waroona
Waroona is a small rural town in Western Australia known for its agricultural activities, nearby forests and lakes, and role as a service centre within the Peel region.
-
C.
Merredin
Merredin is a rural service town in Western Australia known as a key agricultural and transport hub in the state’s Wheatbelt.
-
D.
Narembeen
Narembeen is a small agricultural town in Western Australia known for its grain and sheep farming within the state’s Wheatbelt.
-
E.
Gilgandra
Gilgandra is a rural town in New South Wales, Australia, known as a service and agricultural centre on the western plains.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5dc3048190830b55c8ca02e624 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.