Triple

T9011319
Position Surface form Disambiguated ID Type / Status
Subject Apalaí language E215478 entity
Predicate spokenIn P2266 FINISHED
Object Amazon region E664479 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: Amazon region | Statement: [Apalaí language, spokenIn, Amazon region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon region
Context triple: [Apalaí language, spokenIn, Amazon region]
  • A. Amazon region chosen
    The Amazon region is a vast tropical rainforest and river basin in South America, renowned for its unparalleled biodiversity and critical role in regulating the global climate.
  • B. Region A
    Region A is an administrative region within the City of Johannesburg Metropolitan Municipality in South Africa, encompassing several northern and northwestern suburbs and semi-rural areas.
  • C. Northern Region
    Northern Region is one of Ghana’s largest administrative regions, known for its savannah landscapes, agriculture-based economy, and cultural diversity.
  • D. EC2 postal district
    The EC2 postal district is a central London area covering part of the City’s financial core, including major banking and commercial streets.
  • E. North Region
    North Region is a large, predominantly rural administrative region in northern Cameroon known for its savanna landscapes, diverse ethnic groups, and agriculture-based economy.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c1571881908d0b144786b5ee1f completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9dca848190952427bb5712081f completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.