Triple

T20016198
Position Surface form Disambiguated ID Type / Status
Subject Macro-Jê languages E494723 entity
Predicate includesLanguage P2177 FINISHED
Object Xerente language
The Xerente language is an indigenous language spoken by the Xerente people of central Brazil and is part of the Macro-Jê linguistic family.
 E1407093 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: Xerente language | Statement: [Macro-Jê languages, includesLanguage, Xerente language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xerente language
Context triple: [Macro-Jê languages, includesLanguage, Xerente language]
  • A. Xetá language
    The Xetá language is an indigenous and nearly extinct Tupian language spoken by the Xetá people of Brazil.
  • B. Saraveca language
    The Saraveca language is an extinct Arawakan language once spoken in Bolivia, known from very limited historical documentation.
  • C. Xamtanga language
    Xamtanga is a Central Cushitic (Agaw) language spoken primarily in northern Ethiopia.
  • D. Itsari language
    The Itsari language is a Northeast Caucasian (Dargin) variety spoken in Dagestan, Russia, closely related to the Kubachi language and used by a small local community.
  • E. Aneityum language
    The Aneityum language is an Oceanic Austronesian language spoken by the indigenous people of Aneityum Island in Vanuatu.
  • 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: Xerente language
Triple: [Macro-Jê languages, includesLanguage, Xerente language]
Generated description
The Xerente language is an indigenous language spoken by the Xerente people of central Brazil and is part of the Macro-Jê linguistic family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xerente language
Target entity description: The Xerente language is an indigenous language spoken by the Xerente people of central Brazil and is part of the Macro-Jê linguistic family.
  • A. Xetá language
    The Xetá language is an indigenous and nearly extinct Tupian language spoken by the Xetá people of Brazil.
  • B. Saraveca language
    The Saraveca language is an extinct Arawakan language once spoken in Bolivia, known from very limited historical documentation.
  • C. Xamtanga language
    Xamtanga is a Central Cushitic (Agaw) language spoken primarily in northern Ethiopia.
  • D. Itsari language
    The Itsari language is a Northeast Caucasian (Dargin) variety spoken in Dagestan, Russia, closely related to the Kubachi language and used by a small local community.
  • E. Aneityum language
    The Aneityum language is an Oceanic Austronesian language spoken by the indigenous people of Aneityum Island in Vanuatu.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623cb8188190b95913ffed895930 completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e25511081909f4bd039531c30ec completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080f164ed88190be61cb4637b2c626 completed May 16, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_6a080f8bb81c819098d39ad6e1642aa8 completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:34 p.m.