Triple
T14617287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney light rail |
E343117
|
entity |
| Predicate | connectsHub |
P423
|
FINISHED |
| Object | Randwick |
E681522
|
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: Randwick | Statement: [Sydney light rail, connectsHub, Randwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randwick Context triple: [Sydney light rail, connectsHub, Randwick]
-
A.
Randwick
chosen
Randwick is a historic suburb in Sydney’s Eastern Suburbs, best known for its major racecourse, university campus, and proximity to popular beaches.
-
B.
Crows Nest
Crows Nest is a vibrant lower North Shore suburb of Sydney, Australia, known for its bustling dining and nightlife scene.
-
C.
Mosman
Mosman is an affluent harbourside suburb on Sydney’s Lower North Shore known for its scenic waterfront, beaches, and proximity to Taronga Zoo.
-
D.
Pyrmont
Pyrmont is an inner-city suburb of Sydney, Australia, known for its waterfront location, redeveloped industrial heritage, and proximity to the central business district.
-
E.
Gladesville
Gladesville is a suburb in Sydney, Australia, known for its riverside location along the Parramatta River and mix of residential streets, parks, and local shops.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.