Triple
T8296776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Dodge |
E194238
|
entity |
| Predicate | endTime (second term as Governor of Wisconsin Territory) |
P24865
|
FINISHED |
| Object | 1848 |
—
|
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: 1848 | Statement: [Henry Dodge, endTime (second term as Governor of Wisconsin Territory), 1848]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (second term as Governor of Wisconsin Territory) Context triple: [Henry Dodge, endTime (second term as Governor of Wisconsin Territory), 1848]
-
A.
servedAsGovernorUntil
chosen
Indicates that an entity held the position of governor up to a specified end date or time.
-
B.
endTimeAsLieutenantGovernor
Indicates the date and time at which an individual’s service in the role of lieutenant governor comes to an end.
-
C.
endTimeAsGovernorOfIndiana
Indicates the date and time at which an individual's tenure as Governor of Indiana concludes.
-
D.
termEndAsGovernorOfNewHavenColony
Indicates the date or time period when an individual’s service as governor of the New Haven Colony came to an end.
-
E.
termEndAsGovernorOfMichigan
Indicates the time or event at which an individual's service as Governor of Michigan comes to an end.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df887148190bddc2609bc885cb4 |
completed | March 31, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:53 p.m.