Triple
T1072460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terauchi Masatake |
E23359
|
entity |
| Predicate | startTime as Governor-General of Korea |
P23958
|
FINISHED |
| Object | 1910 |
—
|
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: 1910 | Statement: [Terauchi Masatake, startTime as Governor-General of Korea, 1910]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime as Governor-General of Korea Context triple: [Terauchi Masatake, startTime as Governor-General of Korea, 1910]
-
A.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
-
B.
termStartAsActingGovernor
Indicates that a person’s term in office began while they were serving in the capacity of an acting governor rather than as a fully appointed or elected governor.
-
C.
startTime (Governor of South Carolina)
Indicates the point in time at which a person begins serving as Governor of South Carolina.
-
D.
notableGovernorGeneral
Indicates that the subject is a Governor General who is recognized as notable or distinguished in that role.
-
E.
appointedGovernorGeneralOnAdviceOf
Indicates that an individual was appointed as Governor General based on the formal advice or recommendation of another specified party.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9296c5c8190a3060fbfdf24f029 |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73844708190a16c9e9824ca2fb6 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8d5076481908640a0d873efdf14 |
completed | March 1, 2026, 10:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.