Triple
T15635290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandos Museum |
E375927
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kandos |
E77333
|
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: Kandos | Statement: [Kandos Museum, locatedIn, Kandos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandos Context triple: [Kandos Museum, locatedIn, Kandos]
-
A.
Kandos
chosen
Kandos is a small town in New South Wales, Australia, historically known for its cement industry and its location near the Capertee Valley and Wollemi National Park.
-
B.
Murrumba Downs
Murrumba Downs is a residential suburb in the northern outskirts of the Brisbane metropolitan area in Queensland, Australia.
-
C.
Noarlunga Downs
Noarlunga Downs is a suburban locality in the southern metropolitan area of Adelaide, South Australia.
-
D.
Broulee
Broulee is a small coastal town in New South Wales, Australia, known for its beaches, surfing, and relaxed holiday atmosphere.
-
E.
Gilgandra
Gilgandra is a rural town in New South Wales, Australia, known as a service and agricultural centre on the western plains.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b31b3b4819095d0c24ee471e2a9 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 4:14 a.m.