Triple

T13564614
Position Surface form Disambiguated ID Type / Status
Subject Tiwi language E324002 entity
Predicate name P16 FINISHED
Object Tiwi E296140 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: Tiwi | Statement: [Tiwi language, name, Tiwi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiwi
Context triple: [Tiwi language, name, Tiwi]
  • A. Tiwi chosen
    Tiwi is a northern suburb of Darwin in Australia's Northern Territory, known for its residential areas and proximity to the Royal Darwin Hospital.
  • B. Ulmarra
    Ulmarra is a small historic riverside village in New South Wales, Australia, known for its heritage streetscape and location on the Clarence River.
  • C. Tiwi Islands
    The Tiwi Islands are a remote Aboriginal-owned archipelago off Australia’s Northern Territory coast, renowned for their rich Tiwi culture, art, and tropical landscapes.
  • D. Baddega
    Baddega was a prominent monarch of the Vemulavada Chalukya dynasty in early medieval South India, known for his regional power and patronage.
  • E. Tjirrkarli
    Tjirrkarli is a small remote Aboriginal community located in the Shire of Ngaanyatjarraku in Western Australia’s desert region.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75daf1bfc8190bf22eb9ef242f54f completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.