Triple

T3026872
Position Surface form Disambiguated ID Type / Status
Subject Atlas Maior E82795 entity
Predicate containsMapsOf P18937 FINISHED
Object America E90426 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: America | Statement: [Atlas Maior, containsMapsOf, America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America
Context triple: [Atlas Maior, containsMapsOf, America]
  • A. America chosen
    America is the landmass in the Western Hemisphere comprising the continents of North and South America, widely recognized for its vast geographic, cultural, and political diversity.
  • B. America
    "America" is a lively, satirical musical number from *West Side Story* that contrasts the promises and prejudices of life in the United States as debated by Puerto Rican immigrants.
  • C. America
    America was the Command and Service Module spacecraft used on NASA’s Apollo 17 mission, the final crewed lunar landing of the Apollo program.
  • D. America
    "America" is a seminal and politically charged Judge Dredd storyline that explores themes of democracy, authoritarianism, and personal freedom within the dystopian world of Mega-City One.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9e13f16c81909e11ed1444c71151 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432e95eb48190b51692cfbd7b22a6 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3 p.m.