Triple
T2348761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Columbia statehood referendum, 2016 |
E47394
|
entity |
| Predicate | questionText |
P38652
|
FINISHED |
| Object | Should the District of Columbia be admitted to the Union as a state? |
—
|
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: Should the District of Columbia be admitted to the Union as a state? | Statement: [District of Columbia statehood referendum, 2016, questionText, Should the District of Columbia be admitted to the Union as a state?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionText Context triple: [District of Columbia statehood referendum, 2016, questionText, Should the District of Columbia be admitted to the Union as a state?]
-
A.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
B.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
C.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
D.
questionsView
Indicates that one entity views or displays questions associated with another entity.
-
E.
centralQuestion
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcb7ebb708190ba7edffee3c45d8b |
completed | March 7, 2026, 6:53 a.m. |
Created at: March 4, 2026, 7:54 p.m.