Triple

T5361615
Position Surface form Disambiguated ID Type / Status
Subject Northeastern Turkic E103033 entity
Predicate hasMember P10 FINISHED
Object Southern Altai language E514631 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: Southern Altai language | Statement: [Northeastern Turkic, hasMember, Southern Altai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Altai language
Context triple: [Northeastern Turkic, hasMember, Southern Altai language]
  • A. Altai language chosen
    The Altai language is a Turkic language spoken primarily in Russia’s Altai Republic and surrounding regions by the indigenous Altai people.
  • B. Sibe language
    Sibe language is a modern Tungusic language spoken primarily by the Sibe people in Xinjiang, China, and is closely related to Manchu.
  • C. Khakas language
    Khakas language is a Turkic language spoken primarily by the Khakas people in the Republic of Khakassia in south-central Siberia, Russia.
  • D. Lower Tanana language
    The Lower Tanana language is an endangered Northern Athabaskan language traditionally spoken by the Tanana people in the interior region of Alaska.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865a0bb081909579cfe7c7974075 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf333e785c819092afe751934662f0 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:02 p.m.