Triple

T6108444
Position Surface form Disambiguated ID Type / Status
Subject Borjigin E136172 entity
Predicate hasNotableMember P304 FINISHED
Object Toghon Temür E375283 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: Toghon Temür | Statement: [Borjigin, hasNotableMember, Toghon Temür]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toghon Temür
Context triple: [Borjigin, hasNotableMember, Toghon Temür]
  • A. Toghon Temür chosen
    Toghon Temür was the last emperor of the Yuan dynasty in China, whose troubled reign ended with the dynasty’s collapse and the rise of the Ming.
  • B. Tugh Temür
    Tugh Temür was a 14th-century Mongol ruler who served as Great Khan of the Mongol Empire and emperor of the Yuan dynasty in China.
  • C. Yesün Temür
    Yesün Temür was a 14th-century Mongol ruler who served as Great Khan of the Mongol Empire and emperor of the Yuan dynasty in China.
  • D. 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.
  • E. 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.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b835ed48190971c3ba397ca329f completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13598c54c8190b3701de83005875c completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:13 p.m.