Triple

T3296066
Position Surface form Disambiguated ID Type / Status
Subject Golden Horde E69217 entity
Predicate ruler P403 FINISHED
Object Tokhtamysh E336889 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: Tokhtamysh | Statement: [Golden Horde, ruler, Tokhtamysh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokhtamysh
Context triple: [Golden Horde, ruler, Tokhtamysh]
  • A. Tokhtamysh chosen
    Tokhtamysh was a late 14th-century khan of the Golden Horde who briefly reunited its territories and clashed with the Central Asian conqueror Timur.
  • B. Qazan Khan
    Qazan Khan was a 14th-century ruler of the Chagatai Khanate, a Mongol successor state in Central Asia descended from Genghis Khan’s empire.
  • C. Uzbek Khan
    Uzbek Khan was a powerful 14th-century khan of the Golden Horde known for making Islam the state religion and overseeing a period of political stability and economic prosperity.
  • D. Nogai Khan
    Nogai Khan was a powerful Mongol general and de facto ruler in the western part of the Golden Horde during the late 13th century.
  • E. Nogai
    Nogai is a Turkic language spoken primarily by the Nogai people of the North Caucasus region in Russia.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb077c60c81909782be5202ce5a43 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402c197c88190b0ca5a7f47141511 completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 3:10 p.m.