Triple
T640919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Hunter |
E16736
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Port Stephens |
E19571
|
NE FINISHED |
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: Port Stephens | Statement: [Lower Hunter, contains, Port Stephens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Stephens Context triple: [Lower Hunter, contains, Port Stephens]
-
A.
Port Stephens
chosen
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.
-
B.
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.
-
C.
Wyong
Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
-
D.
Batemans Bay
Batemans Bay is a coastal town in New South Wales, Australia, known for its beaches, fishing, and role as a popular holiday destination.
-
E.
Port Macquarie
Port Macquarie is a coastal town in New South Wales, Australia, known for its beaches, koala population, and role as a popular holiday destination.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f0189b08190a584b744f36fa761 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6787173e08190bef6734294b60c13 |
completed | March 3, 2026, 5:58 a.m. |
Created at: March 1, 2026, 7:36 p.m.