Triple
T26426430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Minnesota |
E664382
|
entity |
| Predicate | currentHolderAssumedOfficeDate |
P48963
|
FINISHED |
| Object | January 7, 2019 |
—
|
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: January 7, 2019 | Statement: [Lieutenant Governor of Minnesota, currentHolderAssumedOfficeDate, January 7, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentHolderAssumedOfficeDate Context triple: [Lieutenant Governor of Minnesota, currentHolderAssumedOfficeDate, January 7, 2019]
-
A.
lastOfficeHolderStartDate
chosen
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
B.
previousOfficeHolderStartTime
Indicates the date and time when the immediately preceding office holder first began their term in that office.
-
C.
lastOfficeholderEndDate
Indicates the date on which the most recent officeholder’s term in a given position or office ended.
-
D.
thirdOfficeHolderStartDate
Indicates the date on which the third person to hold a particular office or position began their term.
-
E.
thirdOfficeHolderEndDate
Indicates the date on which the third person to hold a particular office or position ended their term.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 26, 2026, 11:46 p.m.