Triple
T3471212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koiso Kuniaki |
E73261
|
entity |
| Predicate | roleInKorea |
P268
|
FINISHED |
| Object | oversaw colonial administration as Governor-General of Korea |
—
|
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: oversaw colonial administration as Governor-General of Korea | Statement: [Koiso Kuniaki, roleInKorea, oversaw colonial administration as Governor-General of Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInKorea Context triple: [Koiso Kuniaki, roleInKorea, oversaw colonial administration as Governor-General of Korea]
-
A.
roleInKoreanWar
Indicates the specific function, position, or involvement an entity had during the Korean War.
-
B.
roleInTaiwan
Indicates that an entity holds or has held an official or notable role, position, or function within the political, administrative, or social context of Taiwan.
-
C.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
D.
role
chosen
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
E.
typicalRole
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3af0cc81909e575828caeaeae0 |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.