Triple
T2196774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshihide Suga |
E49991
|
entity |
| Predicate | startTimeAsChiefCabinetSecretary |
P1814
|
FINISHED |
| Object | 2012-12-26 |
—
|
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: 2012-12-26 | Statement: [Yoshihide Suga, startTimeAsChiefCabinetSecretary, 2012-12-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsChiefCabinetSecretary Context triple: [Yoshihide Suga, startTimeAsChiefCabinetSecretary, 2012-12-26]
-
A.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
B.
startTimeAsUnitedStatesSecretaryOfDefense
Indicates the date and time at which an individual began serving as the United States Secretary of Defense.
-
C.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
-
D.
startTimeAsUnitedStatesDeputySecretaryOfDefense
Indicates the date and time at which an individual began serving as the United States Deputy Secretary of Defense.
-
E.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf77e4f08190a1f5ea601d306596 |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.