Triple
T735469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–Cuba relations |
E14919
|
entity |
| Predicate | publicOpinionFactor |
P2235
|
FINISHED |
| Object | views of Cuban American voters in Florida |
—
|
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: views of Cuban American voters in Florida | Statement: [United States–Cuba relations, publicOpinionFactor, views of Cuban American voters in Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicOpinionFactor Context triple: [United States–Cuba relations, publicOpinionFactor, views of Cuban American voters in Florida]
-
A.
opinionBy
chosen
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
B.
editorialStance
Indicates the position, viewpoint, or bias an editor or publication adopts toward a subject, issue, or entity.
-
C.
languageOfOpinion
Indicates that a particular opinion is expressed or communicated in a specified language.
-
D.
considersFactor
Indicates that one entity takes another entity into account as a factor when forming a judgment, decision, or evaluation.
-
E.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fafee081909bf356854c09aaff |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.