Triple

T13299113
Position Surface form Disambiguated ID Type / Status
Subject Mesa del Nayar Cora E316760 entity
Predicate partOf P40 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: [Mesa del Nayar Cora, partOf, Cora language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cora language
Context triple: [Mesa del Nayar Cora, partOf, 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a43ed88190a8dbbbd7d6d62dc4 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dd0cd88190b0ae81b402fc31cf completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.