Triple

T10880236
Position Surface form Disambiguated ID Type / Status
Subject Tupian languages E256900 entity
Predicate includesLanguage P2177 FINISHED
Object Awetí language
The Awetí language is an indigenous Tupian language spoken by the Awetí people of Brazil’s Xingu region.
 E890400 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: Awetí language | Statement: [Tupian languages, includesLanguage, Awetí language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Awetí language
Context triple: [Tupian languages, includesLanguage, Awetí language]
  • A. Sateré-Mawé language
    The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • B. Ewondo language
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • C. Nyagbo language
    The Nyagbo language is a Niger-Congo language spoken by the Nyagbo people in the Volta Region of Ghana, closely related to other Ghana–Togo Mountain languages.
  • D. Ovambo language
    The Ovambo language is a Bantu language spoken primarily in northern Namibia and southern Angola by the Ovambo people.
  • E. Ngamo language
    The Ngamo language is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • 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: Awetí language
Triple: [Tupian languages, includesLanguage, Awetí language]
Generated description
The Awetí language is an indigenous Tupian language spoken by the Awetí people of Brazil’s Xingu region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Awetí language
Target entity description: The Awetí language is an indigenous Tupian language spoken by the Awetí people of Brazil’s Xingu region.
  • A. Sateré-Mawé language
    The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • B. Ewondo language
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • C. Nyagbo language
    The Nyagbo language is a Niger-Congo language spoken by the Nyagbo people in the Volta Region of Ghana, closely related to other Ghana–Togo Mountain languages.
  • D. Ovambo language
    The Ovambo language is a Bantu language spoken primarily in northern Namibia and southern Angola by the Ovambo people.
  • E. Ngamo language
    The Ngamo language is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751b031a88190b1182dfc1f520264 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e2322c8190a55605237ae6ce95 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.