Triple
T12402921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakara |
E296304
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Casuarina |
E60906
|
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: Casuarina | Statement: [Nakara, near, Casuarina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casuarina Context triple: [Nakara, near, Casuarina]
-
A.
Casuarina
chosen
Casuarina is a coastal northern suburb of Darwin in Australia's Northern Territory, known for its major shopping centre and popular beach.
-
B.
Acacia
Acacia is a diverse genus of thorny trees and shrubs common in warm regions worldwide, especially known for dominating many African savanna landscapes.
-
C.
Pisonia
Pisonia is a genus of tropical and subtropical flowering trees and shrubs known for their sticky fruits that can adhere to birds.
-
D.
Flindersia
Flindersia is a genus of flowering trees native mainly to Australia and nearby regions, known for their hardwood timber and aromatic foliage.
-
E.
Melaleuca
Melaleuca is a genus of flowering plants in the myrtle family, best known for species like the tea tree that produce aromatic oils used in medicine and cosmetics.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea28b508190a2467b9af195e4ed |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.