Triple
T5192242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Byrne |
E117182
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jindabyne |
E70585
|
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: Jindabyne | Statement: [Gabriel Byrne, notableWork, Jindabyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jindabyne Context triple: [Gabriel Byrne, notableWork, Jindabyne]
-
A.
Jindabyne
chosen
Jindabyne is a town in New South Wales, Australia, known as a major gateway to the Snowy Mountains ski fields and Kosciuszko National Park.
-
B.
Coombabah
Coombabah is a suburb on the Gold Coast in Queensland, Australia, known for its wetlands, nature reserve, and residential communities.
-
C.
Narrandera
Narrandera is a rural town in the Riverina region of New South Wales, Australia, known for its agricultural production and historic riverside setting.
-
D.
Merimbula
Merimbula is a coastal town in New South Wales, Australia, known for its beaches, lakes, and role as a popular holiday destination on the Sapphire Coast.
-
E.
Manjimup
Manjimup is a rural town in Western Australia known for its timber industry, agriculture, and truffle production.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79efd16c8190b0b16278a00baecd |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe58344881908386713f2cf5749b |
completed | March 21, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:46 p.m.