Triple
T34482921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 박근혜 |
E885237
|
entity |
| Predicate | 대통령직전정당직 |
P179657
|
FINISHED |
| Object | 새누리당 비상대책위원장 |
—
|
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: 새누리당 비상대책위원장 | Statement: [박근혜, 대통령직전정당직, 새누리당 비상대책위원장]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 대통령직전정당직 Context triple: [박근혜, 대통령직전정당직, 새누리당 비상대책위원장]
-
A.
partyPresidentialNomineeOf
Indicates that a person is the officially selected presidential nominee representing a particular political party.
-
B.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
-
C.
presidentialNomineePreviousOffice
Indicates that a person who is a presidential nominee previously held a specific political or governmental office.
-
D.
stateOfPoliticalOffice
Indicates the political office or governmental position currently held or associated with an entity.
-
E.
topPoliticalOffice
Indicates that the subject holds or is associated with the highest-ranking political office within a given governmental or political system.
- 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:01 a.m.