Triple

T9669376
Position Surface form Disambiguated ID Type / Status
Subject Yakut E233986 entity
Predicate closelyRelatedTo P37 FINISHED
Object Dolgan language E467256 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: Dolgan language | Statement: [Yakut, closelyRelatedTo, Dolgan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolgan language
Context triple: [Yakut, closelyRelatedTo, Dolgan language]
  • A. Dolgan language chosen
    The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
  • B. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • C. Kalina language
    The Kalina language is an indigenous Cariban language spoken by the Kalina (Carib) people of northern South America and the Caribbean coast.
  • D. Konda-Dora language
    Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
  • E. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3d5b3481908c8c66a3528875aa completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a247ca48190910624dfbf0b491d completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:15 p.m.