Triple
T2944970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongguang Emperor |
E79478
|
entity |
| Predicate | ascendedThroneAfter |
P4400
|
FINISHED |
| Object | fall of Beijing to the Qing in 1644 |
—
|
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: fall of Beijing to the Qing in 1644 | Statement: [Hongguang Emperor, ascendedThroneAfter, fall of Beijing to the Qing in 1644]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ascendedThroneAfter Context triple: [Hongguang Emperor, ascendedThroneAfter, fall of Beijing to the Qing in 1644]
-
A.
acceptedThrone
Indicates that an entity has agreed to assume and take on the role and authority associated with a throne or rulership.
-
B.
cameToPowerAfter
chosen
Indicates that one entity assumed authority or control following the rule or tenure of another entity.
-
C.
hasEnthronementCeremony
Indicates that an entity formally assumes a position of authority or rulership through an official enthronement ceremony.
-
D.
ascensionMethod
Indicates the means or process by which an entity rises, advances, or transitions to a higher state, level, or position.
-
E.
succeededToThroneAs
Indicates that one entity became the new ruler by taking over the throne in a specified role or title from another entity.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b2752481908ec6f9a9cc24c0a7 |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.