Triple

T1357299
Position Surface form Disambiguated ID Type / Status
Subject Arawakan languages E29016 entity
Predicate hasLanguage P15 FINISHED
Object Amuesha language
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
E174998 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: Amuesha language | Statement: [Arawakan languages, hasLanguage, Amuesha language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amuesha language
Context triple: [Arawakan languages, hasLanguage, Amuesha language]
  • A. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • B. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • C. Pamona language
    The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
  • D. Avikam language
    The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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: Amuesha language
Triple: [Arawakan languages, hasLanguage, Amuesha language]
Generated description
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amuesha language
Target entity description: The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
  • A. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • B. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • C. Pamona language
    The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
  • D. Avikam language
    The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c28db5048190a279ee9882caaeaf completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293ab8508190ac321c898cd3df39 completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2d23e14881909fc5a4d89c0b74f4 completed March 8, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_69ad2ded1d548190b0c51c460a751017 completed March 8, 2026, 8:06 a.m.
Created at: March 1, 2026, 7:56 p.m.