Triple

T6469792
Position Surface form Disambiguated ID Type / Status
Subject Itonama E142317 entity
Predicate neighboringLanguages P16383 FINISHED
Object Baure
Baure is an indigenous Arawakan language of Bolivia, traditionally spoken in the Beni region by the Baure people.
E596296 NE FINISHED

How this triple was built (4 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: Baure | Statement: [Itonama, neighboringLanguages, Baure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baure
Context triple: [Itonama, neighboringLanguages, Baure]
  • A. Balke
    Balke is a Norwegian surname most notably associated with the 19th-century landscape painter Peder Balke.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • D. Berar
    Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
  • E. Breg
    Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Baure
Triple: [Itonama, neighboringLanguages, Baure]
Generated description
Baure is an indigenous Arawakan language of Bolivia, traditionally spoken in the Beni region by the Baure people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baure
Target entity description: Baure is an indigenous Arawakan language of Bolivia, traditionally spoken in the Beni region by the Baure people.
  • A. Balke
    Balke is a Norwegian surname most notably associated with the 19th-century landscape painter Peder Balke.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • D. Berar
    Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
  • E. Breg
    Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • F. None of above. chosen

Provenance (5 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a16272c81909313455002cd884d completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6539c93c481909bed35b68ce420d8 completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6559d06c8819082cad37d62fcb3a3 completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c6564e01748190a3a12abcc0dfd30f completed March 27, 2026, 10:05 a.m.
Created at: March 22, 2026, 4:50 p.m.