Triple

T12658486
Position Surface form Disambiguated ID Type / Status
Subject Hezhen language E302350 entity
Predicate closelyRelatedTo P37 FINISHED
Object Nanai language E302345 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: Nanai language | Statement: [Hezhen language, closelyRelatedTo, Nanai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanai language
Context triple: [Hezhen language, closelyRelatedTo, Nanai language]
  • A. Nanai language chosen
    Nanai language is a critically endangered Tungusic language spoken by the Nanai people of the Russian Far East and northeastern China.
  • B. Nivkh language
    The Nivkh language is an isolate spoken by the indigenous Nivkh people of Russia’s Far East, primarily on Sakhalin Island and along the lower Amur River.
  • C. Ainu language
    Ainu language is an indigenous, critically endangered language isolate of northern Japan, traditionally spoken by the Ainu people of Hokkaido and nearby regions.
  • D. Chukchi language
    The Chukchi language is a Chukotko-Kamchatkan language spoken by the Indigenous Chukchi people of northeastern Siberia, Russia.
  • E. Koryak language
    Koryak language is a Chukotko-Kamchatkan language spoken by the Indigenous Koryak people of northeastern Siberia in Russia.
  • 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_69f68ead66bc819099c8d274d69a2022 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:19 p.m.