Triple
T1379205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Harbour |
E29297
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Darling Harbour |
E58756
|
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: Darling Harbour | Statement: [Sydney Harbour, hasLandmark, Darling Harbour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darling Harbour Context triple: [Sydney Harbour, hasLandmark, Darling Harbour]
-
A.
Darling Harbour
chosen
Darling Harbour is a major waterfront entertainment and tourism precinct in central Sydney, known for its restaurants, attractions, and cultural venues.
-
B.
Bennelong Point
Bennelong Point is a prominent headland on Sydney Harbour that forms the site of the iconic Sydney Opera House.
-
C.
Luna Park Sydney
Luna Park Sydney is a historic harbourside amusement park in Sydney, Australia, famous for its iconic smiling entrance face and classic carnival rides.
-
D.
Luna Park
Luna Park is a historic indoor arena in Buenos Aires, Argentina, renowned for hosting major sports events, concerts, and cultural spectacles.
-
E.
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.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3187f248190a5813274b0ef944d |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde1c7e5c8190a6b999f2d5dce088 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:59 p.m.