Triple
T2933965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jianwen Emperor |
E79220
|
entity |
| Predicate | overthrowMethod |
P44028
|
FINISHED |
| Object | military coup |
—
|
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: military coup | Statement: [Jianwen Emperor, overthrowMethod, military coup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overthrowMethod Context triple: [Jianwen Emperor, overthrowMethod, military coup]
-
A.
overrides
Indicates that one entity replaces, supersedes, or takes precedence over another in determining the outcome or applicable behavior.
-
B.
overthrownIn
Indicates that one entity (such as a government, leader, or regime) was removed from power or defeated in a specific event, context, or time period represented by the other entity.
-
C.
overthrewGovernment
Indicates that an entity forcibly removed an existing government from power, typically replacing it with a new regime.
-
D.
overturnedPractice
Indicates that a previously established practice, rule, or precedent has been reversed or invalidated by a later decision or action.
-
E.
overturnedDecisionOf
Indicates that one decision reversed, nullified, or set aside a previous decision.
- F. None of above. chosen
Provenance (4 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983b65f881909b8b7d3dc5c224fd |
completed | March 8, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:56 p.m.