Triple

T12396985
Position Surface form Disambiguated ID Type / Status
Subject Tiwi E296140 entity
Predicate nearbySuburb P41355 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: [Tiwi, nearbySuburb, Casuarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casuarina
Context triple: [Tiwi, nearbySuburb, 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd33f048190b205fd21dc513f6a completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efa1520819093cdf6ab3025ab20 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.