Triple
T17315305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiama Coastal Walk |
E420407
|
entity |
| Predicate | hasEndPoint |
P390
|
FINISHED |
| Object | Gerringong |
—
|
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: Gerringong | Statement: [Kiama Coastal Walk, hasEndPoint, Gerringong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerringong Context triple: [Kiama Coastal Walk, hasEndPoint, Gerringong]
-
A.
Gerringong
chosen
Gerringong is a coastal town in New South Wales, Australia, known for its scenic beaches, dairy farming countryside, and relaxed seaside atmosphere.
-
B.
Woolgoolga
Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
-
C.
Culcairn
Culcairn is a small rural town in the Riverina region of New South Wales, Australia, serving as a local service and transport hub.
-
D.
Glenreagh
Glenreagh is a small rural village in northern New South Wales, Australia, known for its historic timber industry and scenic surroundings near the Orara River.
-
E.
Wyong
Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399c6ad88190ba7fcf1d2d53171c |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.