Triple

T14264711
Position Surface form Disambiguated ID Type / Status
Subject LAN.SN E353614 entity
Predicate underlyingBusinessRegion P12320 FINISHED
Object South America E1813 NE FINISHED

How this triple was built (3 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: South America | Statement: [LAN.SN, underlyingBusinessRegion, South America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South America
Context triple: [LAN.SN, underlyingBusinessRegion, South America]
  • A. South America chosen
    South America is a vast, predominantly Spanish- and Portuguese-speaking continent in the Western Hemisphere known for the Amazon rainforest, Andes Mountains, and rich cultural and ecological diversity.
  • B. América
    "América" is a reflective poem by Cuban-American poet Richard Blanco that explores themes of cultural identity, family, and the immigrant experience in the United States.
  • 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. 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. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underlyingBusinessRegion
Context triple: [LAN.SN, underlyingBusinessRegion, South America]
  • A. settlementCountryRegion
    Indicates the country or broader geographic region in which a settlement is located or administered.
  • B. recipientRegion
    Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
  • C. landingRegion
    Indicates the area or zone where an object or entity comes to rest or makes contact after moving or descending.
  • D. underliesCountries
    Indicates that something serves as a foundational basis or underlying factor for one or more countries.
  • E. marketRegion chosen
    Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
  • F. None of above.

Provenance (4 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:09 a.m.