Triple

T4338191
Position Surface form Disambiguated ID Type / Status
Subject Olenyok E97513 entity
Predicate ethnicComposition P1898 FINISHED
Object Yakut E233986 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: Yakut | Statement: [Olenyok, ethnicComposition, Yakut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakut
Context triple: [Olenyok, ethnicComposition, Yakut]
  • A. Yakut chosen
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • B. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • C. Ivilyuat
    Ivilyuat is the endonym used by the Cahuilla people for their native Uto-Aztecan language traditionally spoken in Southern California.
  • D. Aka-Kol
    Aka-Kol is an extinct Great Andamanese language once spoken by the indigenous Kol people of the Andaman Islands in India.
  • E. Yakutiye
    Yakutiye is a central district and municipality of the city of Erzurum in eastern Turkey, serving as one of its main administrative and urban areas.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516c621881909f094d040d4805e9 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4f6643081909a2ad9a7d057ea2a completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:14 p.m.