Triple
T19696882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary of State of Minnesota |
E472982
|
entity |
| Predicate | firstOfficeCreationYear |
P32879
|
FINISHED |
| Object | 1858 |
—
|
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: 1858 | Statement: [Secretary of State of Minnesota, firstOfficeCreationYear, 1858]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfficeCreationYear Context triple: [Secretary of State of Minnesota, firstOfficeCreationYear, 1858]
-
A.
officeReestablishedYear
Indicates the year in which an office or official position was reestablished after having been previously discontinued or abolished.
-
B.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
C.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
D.
officeCreationYear
chosen
Indicates the calendar year in which an office was established or created.
-
E.
firstArrivalYear
Indicates the calendar year in which an entity first arrived at or was initially present in a specified place or context.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6421527b08190858788265043792d |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.