Triple
T20729064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New South Wales Legislative Assembly |
E509518
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NSW LA |
—
|
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: NSW LA | Statement: [New South Wales Legislative Assembly, abbreviation, NSW LA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSW LA Context triple: [New South Wales Legislative Assembly, abbreviation, NSW LA]
-
A.
LA (NSW)
chosen
LA (NSW) is the standard abbreviation for the New South Wales Legislative Assembly, the lower house of the Parliament of New South Wales in Australia.
-
B.
SLNSW
SLNSW is the State Library of New South Wales, a major public research and reference library in Sydney, Australia.
-
C.
AGNSW
AGNSW is a major public art museum in Sydney, Australia, renowned for its collections of Australian, Aboriginal, European, and Asian art.
-
D.
TfNSW
TfNSW is the New South Wales government agency responsible for planning, managing, and coordinating the state’s transport systems and services.
-
E.
FRNSW
FRNSW is the primary urban fire and rescue service for the Australian state of New South Wales, responsible for firefighting, emergency response, and community safety.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1eb5d44819082d9fa410e676d91 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:30 p.m.