Triple

T12658310
Position Surface form Disambiguated ID Type / Status
Subject Nanai language E302345 entity
Predicate closelyRelatedTo P37 FINISHED
Object Udege language E303386 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: Udege language | Statement: [Nanai language, closelyRelatedTo, Udege language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udege language
Context triple: [Nanai language, closelyRelatedTo, Udege language]
  • A. Udege language chosen
    The Udege language is a critically endangered Tungusic language spoken by the Udege people of the Russian Far East.
  • B. 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.
  • C. Nanai language
    Nanai language is a critically endangered Tungusic language spoken by the Nanai people of the Russian Far East and northeastern China.
  • D. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • E. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719c18508190a9c28b2526e6b336 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:19 p.m.