Triple

T3217265
Position Surface form Disambiguated ID Type / Status
Subject Yuan dynasty E67425 entity
Predicate notableRuler P22 FINISHED
Object Tugh Temür E370720 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: Tugh Temür | Statement: [Yuan dynasty, notableRuler, Tugh Temür]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tugh Temür
Context triple: [Yuan dynasty, notableRuler, Tugh Temür]
  • A. Möngke Khan
    Möngke Khan was the fourth Great Khan of the Mongol Empire, under whose rule the empire reached its greatest territorial extent and saw major administrative and fiscal reforms.
  • B. Temür Khan
    Temür Khan was a Yuan dynasty emperor and grandson of Kublai Khan who ruled China and the Mongol Empire in the late 13th and early 14th centuries.
  • C. Kublai Khan
    Kublai Khan was the 13th-century Mongol emperor who founded China’s Yuan dynasty and presided over one of the largest empires in history.
  • D. Hülegü Khan
    Hülegü Khan was a 13th-century Mongol ruler and grandson of Genghis Khan who founded the Ilkhanate in Persia and led the conquest of Baghdad, ending the Abbasid Caliphate.
  • E. Külüg Khan chosen
    Külüg Khan was a Mongol emperor of the Yuan dynasty in China, known for his brief and financially troubled reign in the early 14th century.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ae494819093d39c367facde27 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432ebe354819097a4ddce7355b8db completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:08 p.m.