Triple

T2747673
Position Surface form Disambiguated ID Type / Status
Subject Wagaman E60907 entity
Predicate partOf P40 FINISHED
Object Darwin urban area E296136 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: Darwin urban area | Statement: [Wagaman, partOf, Darwin urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darwin urban area
Context triple: [Wagaman, partOf, Darwin urban area]
  • A. Darwin metropolitan area chosen
    The Darwin metropolitan area is the urban region centered on Darwin, the capital city of Australia's Northern Territory, encompassing its surrounding suburbs and satellite communities.
  • B. City of Darwin
    The City of Darwin is the local government area that encompasses Darwin, the tropical capital and largest city of Australia's Northern Territory.
  • C. Darwin
    Darwin is a surname most famously associated with Charles Darwin, the 19th-century naturalist whose theory of evolution by natural selection revolutionized biology.
  • D. Darwin
    Darwin is Apple's Unix-like core operating system that provides the low-level foundation for macOS, iOS, and other Apple platforms.
  • E. Darwin
    Darwin is the tropical capital city of Australia's Northern Territory, known as a gateway to Southeast Asia and nearby natural attractions like Kakadu National Park.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6439b348190be7529256d9d0531 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:56 p.m.