Triple

T2101560
Position Surface form Disambiguated ID Type / Status
Subject Turkic languages E37102 entity
Predicate hasMajorLanguage P207 FINISHED
Object Yakut
Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
 E233986 NE FINISHED

How this triple was built (4 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: [Turkic languages, hasMajorLanguage, Yakut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yakut
Context triple: [Turkic languages, hasMajorLanguage, Yakut]
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Anadyr
    Anadyr is a remote Arctic port town in Russia’s Far East, situated on the Anadyr River near the Bering Sea and serving as the main administrative, economic, and cultural center of the surrounding region.
  • C. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Olenyok
    Olenyok is a remote settlement in the Sakha Republic of Russia, located in the Arctic region and known for its extremely harsh climate and traditional Indigenous (Evenki and Yakut) culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yakut
Triple: [Turkic languages, hasMajorLanguage, Yakut]
Generated description
Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yakut
Target entity description: Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Anadyr
    Anadyr is a remote Arctic port town in Russia’s Far East, situated on the Anadyr River near the Bering Sea and serving as the main administrative, economic, and cultural center of the surrounding region.
  • C. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Olenyok
    Olenyok is a remote settlement in the Sakha Republic of Russia, located in the Arctic region and known for its extremely harsh climate and traditional Indigenous (Evenki and Yakut) culture.
  • F. None of above. chosen

Provenance (5 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabc83a8819091f786f21d33b5a6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3065f3588190bc483e07dda8cf71 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3106488c8190a044d843a10f531a completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31889bc0819092810ade1961d10e completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.