Triple
T12881218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska State Senate districts |
E308098
|
entity |
| Predicate | ballotLanguage |
P9260
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Alaska State Senate districts, ballotLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ballotLanguage Context triple: [Alaska State Senate districts, ballotLanguage, English]
-
A.
languageOfBallots
chosen
Indicates the language or languages in which ballots are written or presented.
-
B.
ballot
Indicates that an entity participates in a formal voting process, typically by casting or submitting a vote or choice.
-
C.
languageOfCampaigning
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
-
D.
ballotStructure
Indicates how options, candidates, or choices are organized and presented on a ballot for selection.
-
E.
languageOfPoliticalContext
Indicates the language in which a given political context, discourse, or situation is expressed or conducted.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:39 p.m.