Triple
T31120119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota congressional delegation |
E793198
|
entity |
| Predicate | senatorsElectedAtLarge |
P172201
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Minnesota congressional delegation, senatorsElectedAtLarge, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senatorsElectedAtLarge Context triple: [Minnesota congressional delegation, senatorsElectedAtLarge, yes]
-
A.
chairElectedAtLarge
Indicates that a person holds the position of chair as a result of being elected by the entire electorate at large, rather than from a specific subgroup or district.
-
B.
numberOfIndependentSenators
Indicates the count of senators who are not formally affiliated with any political party.
-
C.
succeededInOfficeAsSenatorBy
Indicates that one senator left office and was directly followed in that same senatorial position by another specific senator.
-
D.
seatOfElector
Indicates the location or jurisdiction that serves as the official base or constituency of a given elector.
-
E.
hasUSSenator
Indicates that a specified state or jurisdiction is represented by a particular individual serving as a United States Senator.
- F. None of above. chosen
Provenance (4 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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 29, 2026, 9:04 p.m.