Triple

T7261246
Position Surface form Disambiguated ID Type / Status
Subject Aru languages E159656 entity
Predicate hasMember P10 FINISHED
Object Mariri language
The Mariri language is an Austronesian language of the Aru Islands in eastern Indonesia, spoken by a small local community.
 E651516 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: Mariri language | Statement: [Aru languages, hasMember, Mariri language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mariri language
Context triple: [Aru languages, hasMember, Mariri language]
  • A. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • B. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • C. Mararit language
    The Mararit language is a lesser-known Nilo-Saharan language spoken by the Mararit people in parts of Chad and Sudan.
  • D. Tiriyó language
    The Tiriyó language is an indigenous Cariban language spoken by the Tiriyó people in parts of Brazil and Suriname, known for its rich oral tradition and relatively small speaker community.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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: Mariri language
Triple: [Aru languages, hasMember, Mariri language]
Generated description
The Mariri language is an Austronesian language of the Aru Islands in eastern Indonesia, spoken by a small local community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mariri language
Target entity description: The Mariri language is an Austronesian language of the Aru Islands in eastern Indonesia, spoken by a small local community.
  • A. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • B. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • C. Mararit language
    The Mararit language is a lesser-known Nilo-Saharan language spoken by the Mararit people in parts of Chad and Sudan.
  • D. Tiriyó language
    The Tiriyó language is an indigenous Cariban language spoken by the Tiriyó people in parts of Brazil and Suriname, known for its rich oral tradition and relatively small speaker community.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac79fd081909274aa10ffb192aa completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3bda4808190810f2d170cb693b9 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d469fd0081908943099685f94c8b completed March 28, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69c7d52299108190974a2e62d6f96610 completed March 28, 2026, 1:18 p.m.
Created at: March 27, 2026, 2:57 p.m.