Triple

T14861144
Position Surface form Disambiguated ID Type / Status
Subject Sir Nathaniel Waena E349492 entity
Predicate continentOfCitizenship P1934 FINISHED
Object Oceania E8778 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: Oceania | Statement: [Sir Nathaniel Waena, continentOfCitizenship, Oceania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oceania
Context triple: [Sir Nathaniel Waena, continentOfCitizenship, Oceania]
  • A. Oceania chosen
    Oceania is a vast geographic region comprising numerous islands and countries in the Pacific Ocean, including Australia, New Zealand, and the Pacific Island nations.
  • B. Oceania
    Oceania is the totalitarian superstate in George Orwell’s dystopian novel "Nineteen Eighty-Four," characterized by pervasive surveillance, propaganda, and absolute political control.
  • C. Oceania–North America
    Oceania–North America refers to the intercontinental connection and interactions—such as air routes, trade, and cultural exchange—between the regions of Oceania and North America.
  • D. Planasia
    Planasia was a small island off the coast of Italy used by the Romans as a place of political exile.
  • E. Aasiaat
    Aasiaat is a coastal town in western Greenland known for its fishing industry, colorful houses, and location amid the icebergs and wildlife-rich waters of the Arctic.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded573cba881908d6d9ac570a64e5f completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650a43bc8190b836fe690d2a3c71 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.