Triple

T13427585
Position Surface form Disambiguated ID Type / Status
Subject Cora language E313521 entity
Predicate hasEndonym P1435 FINISHED
Object Náayeri
Náayeri is the self-designated name used by speakers of the Cora language, an indigenous Uto-Aztecan language of western Mexico.
 E1038379 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: Náayeri | Statement: [Cora language, hasEndonym, Náayeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Náayeri
Context triple: [Cora language, hasEndonym, Náayeri]
  • A. Nasar
    Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
  • B. Isawiya
    Isawiya is a Palestinian neighborhood in East Jerusalem located near the French Hill area.
  • C. Mehinaku
    The Mehinaku are an Indigenous people of Brazil living in the Upper Xingu region of the Amazon, known for their complex ritual life, communal village organization, and distinctive material culture.
  • D. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • E. Yakurr
    Yakurr is a local government area in southeastern Nigeria known for its rich cultural heritage and predominantly agrarian communities.
  • 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: Náayeri
Triple: [Cora language, hasEndonym, Náayeri]
Generated description
Náayeri is the self-designated name used by speakers of the Cora language, an indigenous Uto-Aztecan language of western Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Náayeri
Target entity description: Náayeri is the self-designated name used by speakers of the Cora language, an indigenous Uto-Aztecan language of western Mexico.
  • A. Nasar
    Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
  • B. Isawiya
    Isawiya is a Palestinian neighborhood in East Jerusalem located near the French Hill area.
  • C. Mehinaku
    The Mehinaku are an Indigenous people of Brazil living in the Upper Xingu region of the Amazon, known for their complex ritual life, communal village organization, and distinctive material culture.
  • D. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • E. Yakurr
    Yakurr is a local government area in southeastern Nigeria known for its rich cultural heritage and predominantly agrarian communities.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f730883cb48190add9469c48dc3e89 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7311f14988190989e319741ef0ccf completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f731e24d508190a896875210be3189 completed May 3, 2026, 11:30 a.m.
Created at: April 9, 2026, 9:40 p.m.