Triple

T6128778
Position Surface form Disambiguated ID Type / Status
Subject Jóhann Jóhannsson E136656 entity
Predicate notableWork P4 FINISHED
Object Fordlândia E169370 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: Fordlândia | Statement: [Jóhann Jóhannsson, notableWork, Fordlândia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fordlândia
Context triple: [Jóhann Jóhannsson, notableWork, Fordlândia]
  • A. Aldeia dos Tapajós
    Aldeia dos Tapajós was the original indigenous settlement that evolved into the modern city of Santarém in the Brazilian Amazon region.
  • B. Fordlandia chosen
    Fordlandia is a historical non-fiction book by Greg Grandin that examines Henry Ford’s failed attempt to build a rubber-producing utopian company town in the Brazilian Amazon.
  • C. Camoteros
    Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
  • D. Os Candangos
    Os Candangos is a bronze monument in Brasília honoring the construction workers who built the city and symbolizing their role in the creation of Brazil’s modern capital.
  • E. Araras
    Araras is a municipality in the interior of the Brazilian state of São Paulo, known for its agricultural economy and regional industrial activities.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4b1df081908dc87fa1c45a43bf completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135cabf808190bbc3ba70eb04126f completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:15 p.m.