Triple

T1423366
Position Surface form Disambiguated ID Type / Status
Subject Seven Summits E30275 entity
Predicate continentCovered 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: [Seven Summits, continentCovered, North America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North America
Context triple: [Seven Summits, continentCovered, 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. Americas
    The Americas are the combined landmasses of North and South America, encompassing a vast region of diverse cultures, climates, and ecosystems in the Western Hemisphere.
  • C. América
    América is a popular Mexican professional football club based in Mexico City, widely recognized as one of the most successful and supported teams in Liga MX.
  • D. Western Hemisphere
    The Western Hemisphere is the half of Earth that lies west of the Prime Meridian and east of the 180th meridian, encompassing the Americas and parts of western Europe and Africa.
  • E. Amerika
    Amerika is a novel by Franz Kafka that follows a young European immigrant’s surreal and often absurd experiences in the United States.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c9df014081908a6e2f41ba012ecc completed March 1, 2026, 11:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3ffcca648190b73d39b92dafe0fe completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 8 p.m.