Triple
T22926719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Börjigin |
E569329
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Toghon Temür |
—
|
NE NERFINISHED |
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: [Börjigin, notableMember, Toghon Temür]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toghon Temür Context triple: [Börjigin, notableMember, 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.
Uskhal Khan Tögüs Temür
Uskhal Khan Tögüs Temür was one of the last emperors of the Yuan dynasty’s Northern Yuan regime in Mongolia, ruling during its decline after being driven from China by the Ming.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d90a9481908ea10019980b3951 |
completed | April 29, 2026, 3:54 a.m. |
Created at: April 17, 2026, 3:43 p.m.