Triple
T27754008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 김대중 |
E701289
|
entity |
| Predicate | 대통령 순서 |
P27301
|
FINISHED |
| Object | 대한민국 제15대 대통령 |
—
|
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: 대한민국 제15대 대통령 | Statement: [김대중, 대통령 순서, 대한민국 제15대 대통령]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 대통령 순서 Context triple: [김대중, 대통령 순서, 대한민국 제15대 대통령]
-
A.
numberOfPresidents
Indicates the total count of individuals who have held the position of president for a given entity or within a specified context.
-
B.
ordinalPresidentInaugurated
chosen
Indicates the ordinal position of a person in the sequence of presidents who have been officially inaugurated.
-
C.
followsPresidenciesOf
Indicates that one presidency occurs after and succeeds the presidencies of another person or group of persons.
-
D.
currentCommanderInChief
Indicates that the subject currently holds the position of commander-in-chief over the object (typically a state’s armed forces).
-
E.
incumbentPresidentNumber
Indicates the ordinal position or sequence number of the person currently serving as president.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6375ece288190bec1ca486bbd2f12 |
completed | May 2, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:22 p.m.