Triple
T466707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney |
E8462
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Port Jackson |
E29297
|
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 Jackson | Statement: [Sydney, hasBodyOfWater, Port Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Jackson Context triple: [Sydney, hasBodyOfWater, Port Jackson]
-
A.
Sydney Cove
Sydney Cove is the historic harbor inlet on Sydney Harbour where the First Fleet landed in 1788, marking the beginning of European settlement in Australia.
-
B.
Sydney Harbour
chosen
Sydney Harbour is the iconic natural harbour of Sydney, Australia, renowned for its scenic waterways, landmarks, and role as a major cultural and recreational hub.
-
C.
Port Stephens
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.
-
D.
Bennelong Point
Bennelong Point is a prominent headland on Sydney Harbour that forms the site of the iconic Sydney Opera House.
-
E.
Darling Harbour
Darling Harbour is a major waterfront entertainment and tourism precinct in central Sydney, known for its restaurants, attractions, and cultural venues.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd831088190b6ac6a56b34a8816 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4746c304881909deb0fdcde69c1c5 |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.