Triple

T10936404
Position Surface form Disambiguated ID Type / Status
Subject Joel Garreau E258342 entity
Predicate birthPlace P1 FINISHED
Object United States of America E14 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: United States of America | Statement: [Joel Garreau, birthPlace, United States of America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States of America
Context triple: [Joel Garreau, birthPlace, United States of America]
  • A. United States of America chosen
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • B. Usa
    Usa is a city in Ōita Prefecture, Japan, known for the historic Usa Jingū Shinto shrine.
  • C. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • D. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • E. უშბა
    უშბა არის კავკასიონის ქედზე, საქართველოს სვანეთში მდებარე რთულად ასასვლელი და თვალწარმტაცი ორფიკიანი მწვერვალი, რომელიც ალპინისტებისთვის ერთ-ერთ ყველაზე შთამბეჭდავ და გამოწვევით სავსე მთად ითვლება.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770afaa1c8190b8fced9c694c0938 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b436efc819080022105e3f5f2e1 completed April 17, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:23 p.m.