Triple
T33800048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ExComm |
E866190
|
entity |
| Predicate | policyOutcomeInfluenced |
P13993
|
FINISHED |
| Object | U.S. naval quarantine of Cuba |
—
|
NE NERFINISHED |
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: U.S. naval quarantine of Cuba | Statement: [ExComm, policyOutcomeInfluenced, U.S. naval quarantine of Cuba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyOutcomeInfluenced Context triple: [ExComm, policyOutcomeInfluenced, U.S. naval quarantine of Cuba]
-
A.
decisionInfluencedBy
Indicates that a decision is shaped, guided, or affected by another factor, entity, or event.
-
B.
consequenceOfPolicies
Indicates the outcomes or effects that result from the implementation or existence of specific policies.
-
C.
influencedPolicyArea
Indicates that one entity has affected, shaped, or guided the development, direction, or implementation of a particular policy area associated with another entity.
-
D.
rulesInfluence
Indicates that one set of rules or regulations has an effect on, shapes, or constrains another entity, process, or outcome.
-
E.
policyImplication
chosen
Indicates that one policy, decision, or condition leads to, justifies, or necessitates another policy outcome or course of action.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 1, 2026, 1:46 a.m.