Triple

T21020482
Position Surface form Disambiguated ID Type / Status
Subject Southwest Amazon moist forests E517792 entity
Predicate contains P35 FINISHED
Object Acre state 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: Acre state | Statement: [Southwest Amazon moist forests, contains, Acre state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acre state
Context triple: [Southwest Amazon moist forests, contains, Acre state]
  • A. Acre state chosen
    Acre state is a remote, heavily forested state in Brazil’s western Amazon region, bordering Peru and Bolivia and known for its rich Indigenous cultures and biodiversity.
  • B. Açailândia
    Açailândia is an industrial and commercial city in the western part of the Brazilian state of Maranhão, known for its steel industry and role as a regional economic hub.
  • C. Aragua state
    Aragua state is a central Venezuelan state known for its capital city Maracay, industrial activity, and diverse landscapes that include coastal areas and national parks.
  • D. Bahia
    Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
  • E. Bahia
    Bahia is a large and culturally rich state in northeastern Brazil, known for its Afro-Brazilian heritage, historic city of Salvador, and extensive Atlantic coastline.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5c905c8190ba2f9f82b6cd1648 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.