Triple

T13398880
Position Surface form Disambiguated ID Type / Status
Subject Sierra del Nayar E319773 entity
Predicate hasLanguageCommunity P5562 FINISHED
Object Cora language E313521 NE FINISHED

How this triple was built (2 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: Cora language | Statement: [Sierra del Nayar, hasLanguageCommunity, Cora language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cora language
Context triple: [Sierra del Nayar, hasLanguageCommunity, Cora language]
  • A. Cora language chosen
    The Cora language is an indigenous Uto-Aztecan language spoken by the Cora people of western Mexico, particularly in the state of Nayarit.
  • B. Mara language
    The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
  • C. Mimi-D language
    Mimi-D is an extinct and poorly documented language of Chad, historically spoken by a small ethnic group and only fragmentarily known from early 20th-century records.
  • D. 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.
  • E. Kreda language
    The Kreda language is an Eastern Saharan language spoken by the Kreda (Karai) people, primarily in parts of Chad and neighboring regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae47e99081909d8b5dba97a11988 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461b0dd481908719fc4657bb92bb completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:34 p.m.