Triple
T28416634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa Republican presidential caucuses, 2024 |
E719825
|
entity |
| Predicate | votersGatherIn |
P115172
|
FINISHED |
| Object | local precinct caucus meetings |
—
|
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: local precinct caucus meetings | Statement: [Iowa Republican presidential caucuses, 2024, votersGatherIn, local precinct caucus meetings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votersGatherIn Context triple: [Iowa Republican presidential caucuses, 2024, votersGatherIn, local precinct caucus meetings]
-
A.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
-
B.
gathering
chosen
Indicates that one or more entities are coming together or being brought together into a group at a particular time or place.
-
C.
containsVotersFrom
Indicates that one entity includes or encompasses voters originating from another entity.
-
D.
approximateNumberOfVotersBefore
Indicates that one value represents an estimated count of voters that existed prior to a specified point in time or event.
-
E.
votingPopulation
Indicates that the subject entity has a population of individuals who are eligible and/or registered to vote in elections associated with the object entity.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 1:30 a.m.