Triple

T6696353
Position Surface form Disambiguated ID Type / Status
Subject Mari language E152759 entity
Predicate hasAlternativeName P39 FINISHED
Object Cheremis language E357085 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: Cheremis language | Statement: [Mari language, hasAlternativeName, Cheremis language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheremis language
Context triple: [Mari language, hasAlternativeName, Cheremis language]
  • A. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • B. Khanty language chosen
    The Khanty language is a Uralic language spoken by the Khanty people of western Siberia, closely related to Mansi and traditionally used in the Khanty-Mansi Autonomous Okrug of Russia.
  • C. Mussau-Emira language
    Mussau-Emira language is an Oceanic Austronesian language spoken primarily on Mussau and nearby islands in Papua New Guinea.
  • D. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • E. Ulch language
    The Ulch language is a critically endangered Tungusic language spoken by the Ulch people in the Russian Far East, primarily along the lower Amur River.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b197ccb48190a540feecb2d9c70b completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bba1008190a0ea11aabdb3f360 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.