Triple

T21310533
Position Surface form Disambiguated ID Type / Status
Subject Yury of Moscow E525320 entity
Predicate spouse P13 FINISHED
Object Konchaka
Konchaka was a Tatar princess who became the wife of Yury of Moscow, linking the Muscovite ruling house with the Golden Horde.
 E1477324 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: Konchaka | Statement: [Yury of Moscow, spouse, Konchaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Konchaka
Context triple: [Yury of Moscow, spouse, Konchaka]
  • A. Chakari
    Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
  • B. Chopi
    Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
  • C. Chakosi
    Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
  • D. Chenchukuli
    Chenchukuli is an alternative name for the Chenchu language, a Dravidian language spoken by the Chenchu people of India.
  • E. Chakala
    Chakala is a prominent commercial and residential locality in Mumbai’s Andheri suburb, known for its industrial estates, offices, and proximity to key transport links.
  • 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: Konchaka
Triple: [Yury of Moscow, spouse, Konchaka]
Generated description
Konchaka was a Tatar princess who became the wife of Yury of Moscow, linking the Muscovite ruling house with the Golden Horde.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Konchaka
Target entity description: Konchaka was a Tatar princess who became the wife of Yury of Moscow, linking the Muscovite ruling house with the Golden Horde.
  • A. Chakari
    Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
  • B. Chopi
    Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
  • C. Chakosi
    Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
  • D. Chenchukuli
    Chenchukuli is an alternative name for the Chenchu language, a Dravidian language spoken by the Chenchu people of India.
  • E. Chakala
    Chakala is a prominent commercial and residential locality in Mumbai’s Andheri suburb, known for its industrial estates, offices, and proximity to key transport links.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aab14f08190949e1407eb2b3e67 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed968d88190aa274406beb46e87 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099fb54c00819083422ecadd9aa1f5 completed May 17, 2026, 11 a.m.
NED2 Entity disambiguation (via description) batch_6a09a0242a94819095af1689fe5aea0a completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 4:09 p.m.