Triple
T28329204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevada Republican presidential caucuses, 2024 |
E717491
|
entity |
| Predicate | isPrimaryOrCaucus |
P167265
|
FINISHED |
| Object | caucus |
—
|
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: caucus | Statement: [Nevada Republican presidential caucuses, 2024, isPrimaryOrCaucus, caucus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimaryOrCaucus Context triple: [Nevada Republican presidential caucuses, 2024, isPrimaryOrCaucus, caucus]
-
A.
isCaucusOf
Indicates that one group functions as a caucus, or organized subgroup, within a larger organization, body, or assembly.
-
B.
hasCaucusType
chosen
Indicates that an entity is associated with a specific type or category of caucus.
-
C.
isPrimary
Indicates that one entity holds the main, leading, or most important role or status in relation to another entity or within a given context.
-
D.
includePrimaryElections
Indicates whether primary election events or data are to be included as part of the specified electoral context or dataset.
-
E.
isCandidate
Indicates that an entity is being considered or put forward for a particular position, role, or selection process.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 28, 2026, 12:30 a.m.