Triple
T2832024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resident-General of Korea |
E62259
|
entity |
| Predicate | legalStatusOfKoreaDuringTenure |
P42744
|
FINISHED |
| Object | protectorate of Japan |
—
|
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: protectorate of Japan | Statement: [Resident-General of Korea, legalStatusOfKoreaDuringTenure, protectorate of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfKoreaDuringTenure Context triple: [Resident-General of Korea, legalStatusOfKoreaDuringTenure, protectorate of Japan]
-
A.
startTime as Governor-General of Korea
Indicates the point in time at which an individual began serving in the role of Governor-General of Korea.
-
B.
meetsDuringPresidencyOf
Indicates that one entity meets another while a specified person is serving as president.
-
C.
operatedDuringPresidencyOf
Indicates that an entity carried out its operations or activities during the time period when another entity held a presidential office.
-
D.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
-
E.
notableEventDuringTerm
Indicates that a significant or noteworthy event occurred during the time span of a particular term in office or period of service.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebe95188190bf65fb4cd88e2ec5 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddccd50c8190a975942f46cfc01f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:01 p.m.