Triple
T6350168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daoguang Emperor |
E142847
|
entity |
| Predicate | regnalNumberInQing |
P51882
|
FINISHED |
| Object | 7th emperor of the Qing dynasty to rule China proper |
—
|
LITERAL 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: 7th emperor of the Qing dynasty to rule China proper | Statement: [Daoguang Emperor, regnalNumberInQing, 7th emperor of the Qing dynasty to rule China proper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regnalNumberInQing Context triple: [Daoguang Emperor, regnalNumberInQing, 7th emperor of the Qing dynasty to rule China proper]
-
A.
functionInQingDynasty
Indicates that an entity held a particular official role, position, or function during the Qing Dynasty.
-
B.
kangxiRadicalNumber
Indicates the specific Kangxi radical index number associated with a given Chinese character or component.
-
C.
ordinalNumberAsEmperor
chosen
Indicates the numerical order in which a person held the title or role of emperor.
-
D.
dynasticNumber
Indicates the ordinal position or identifying number assigned to a dynasty within a historical or genealogical sequence.
-
E.
eraNumberInJapan
Indicates the specific numbered position of a historical era within the sequence of Japanese eras.
- F. None of above.
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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bcec2c8190bb383605847b0f0b |
completed | March 22, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.