Triple
T31120431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah congressional delegation |
E793206
|
entity |
| Predicate | senatorsElectedStatewide |
P172201
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Utah congressional delegation, senatorsElectedStatewide, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senatorsElectedStatewide Context triple: [Utah congressional delegation, senatorsElectedStatewide, true]
-
A.
senatorsElectedAtLarge
chosen
Indicates that the senators in question are chosen by a statewide (or broad, non-district-based) election rather than being elected from specific smaller constituencies or districts.
-
B.
stateLevelElections
Indicates that elections are being held or occur at the state (sub-national) level within a political system.
-
C.
seatOfElector
Indicates the location or jurisdiction that serves as the official base or constituency of a given elector.
-
D.
isStatewide
Indicates that something applies uniformly across an entire state or is valid throughout the whole state jurisdiction.
-
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.
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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 9:04 p.m.