Triple
T10730659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Geun-hye |
E253062
|
entity |
| Predicate | impeachmentDate |
P13552
|
FINISHED |
| Object | 2016-12-09 |
—
|
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: 2016-12-09 | Statement: [Park Geun-hye, impeachmentDate, 2016-12-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impeachmentDate Context triple: [Park Geun-hye, impeachmentDate, 2016-12-09]
-
A.
impeachmentYear
chosen
Indicates the year in which an entity (typically a public official) was formally impeached.
-
B.
impeachmentEnd
Indicates the point or event at which an impeachment process or proceeding is concluded or terminated.
-
C.
impeachmentOutcome
Indicates the result or final status of an impeachment process against a specific officeholder.
-
D.
impeached
Indicates that a formal charge of misconduct has been brought against a public official through an official legislative or judicial process.
-
E.
impeachmentInitiation
Indicates the formal start of a process to charge and potentially remove a public official from office for alleged misconduct.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fcb1cd881909635def59ad5d19c |
completed | April 9, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.