Triple
T25578171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Ramsey |
E641167
|
entity |
| Predicate | startTime (Governor of Minnesota) |
P168539
|
FINISHED |
| Object | 1860 |
—
|
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: 1860 | Statement: [Alexander Ramsey, startTime (Governor of Minnesota), 1860]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Governor of Minnesota) Context triple: [Alexander Ramsey, startTime (Governor of Minnesota), 1860]
-
A.
startTime (Governor of Minnesota Territory)
chosen
Indicates the point in time at which an individual begins serving as Governor of Minnesota Territory.
-
B.
startTime (Governor of Wisconsin Territory)
Indicates the point in time at which an individual began serving as Governor of Wisconsin Territory.
-
C.
startTime (Governor of Oklahoma)
Indicates the specific point in time at which a person begins serving as Governor of Oklahoma.
-
D.
startTime (Governor of Vermont)
Indicates the point in time at which an individual begins serving as Governor of Vermont.
-
E.
startTime (Governor of Kansas Territory)
Indicates the point in time at which an individual’s tenure as Governor of Kansas Territory officially begins.
- 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 21, 2026, 4:02 p.m.