Triple

T2165
Position Surface form Disambiguated ID Type / Status
Subject New York City E40 entity
Predicate continent P233 FINISHED
Object North America E335 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: North America | Statement: [New York City, continent, North America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North America
Context triple: [New York City, continent, North America]
  • A. North America chosen
    North America is a large continent in the Northern and Western Hemispheres that includes countries such as the United States, Canada, and Mexico.
  • B. United States of America
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • C. New England
    New England is a historic region in the northeastern United States known for its colonial heritage, distinct seasons, and influential role in American culture and politics.
  • D. Mexico
    Mexico is a large North American country known for its rich pre-Columbian and colonial history, diverse cultures, and influential cuisine and arts.
  • E. NATO
    NATO is a political and military alliance of North American and European countries formed for collective defense and security cooperation.
  • 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_69a22cde80848190b62c5f556b4d62ba completed Feb. 27, 2026, 11:46 p.m.
NER Named-entity recognition batch_69a232e673a881909276dbf9c37bbff6 completed Feb. 28, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a23d860c2881909010e0310acaf10f completed Feb. 28, 2026, 12:57 a.m.
Created at: Feb. 27, 2026, 11:48 p.m.