Triple
T32195699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Armstrong |
E822398
|
entity |
| Predicate | representedInStateLegislature |
P72477
|
FINISHED |
| Object | North Dakota Senate District 36 |
—
|
NE NERFINISHED |
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: North Dakota Senate District 36 | Statement: [Kelly Armstrong, representedInStateLegislature, North Dakota Senate District 36]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedInStateLegislature Context triple: [Kelly Armstrong, representedInStateLegislature, North Dakota Senate District 36]
-
A.
representedInHouseOfRepresentatives
Indicates that an entity serves as a representative or has representation within a specific House of Representatives.
-
B.
representedInGovernment
Indicates that an entity has official representation or a seat within a governmental body or institution.
-
C.
isPartOfStateLegislature
Indicates that an entity serves as a member or component within a specific state-level legislative body.
-
D.
inStateLegislature
chosen
Indicates that an individual holds a position as a member of a state-level legislative body.
-
E.
legislatureServed
Indicates that an individual has served as a member of a specific legislative body during some period of time.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 1, 2026, 12:35 a.m.