Triple

T3938818
Position Surface form Disambiguated ID Type / Status
Subject America/Regina E90981 entity
Predicate areaComponent P15573 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: [America/Regina, areaComponent, America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America
Context triple: [America/Regina, areaComponent, America]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfb12b88190a6ca6574b1aadb6e completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4ca9164819088b261d148e0d379 completed March 14, 2026, 10:44 p.m.
Created at: March 9, 2026, 3:24 p.m.