Triple

T22451997
Position Surface form Disambiguated ID Type / Status
Subject FIBA 3x3 AmeriCup E555014 entity
Predicate confederationScope P66265 FINISHED
Object Pan-American NE NERFINISHED

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: Pan-American | Statement: [FIBA 3x3 AmeriCup, confederationScope, Pan-American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pan-American
Context triple: [FIBA 3x3 AmeriCup, confederationScope, Pan-American]
  • A. Pan-American
    Pan-American was a prominent named passenger train operated by the Louisville and Nashville Railroad, known for its long-distance service through the American South.
  • B. Pan America chosen
    Pan America is the region encompassing the countries of North, Central, and South America and the Caribbean that are collectively represented within the International Judo Federation’s continental structure.
  • C. Las Américas
    Las Américas is a bus rapid transit station on Line 2 of Mexico City’s Metrobús system, serving passengers in the surrounding urban area.
  • D. La América
    La América was a periodical associated with José Martí that played a role in disseminating his early literary and political work, including the publication of "Ismaelillo."
  • E. Inframérica
    Inframérica is a Brazilian airport concessionaire company known for managing and operating major airports such as Greater Natal International Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4c63e88190aeedc326599edd18 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.