Triple
T19383959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–Honduras relations |
E484881
|
entity |
| Predicate | migrationPolicyFramework |
P25238
|
FINISHED |
| Object | U.S. immigration law |
—
|
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: U.S. immigration law | Statement: [United States–Honduras relations, migrationPolicyFramework, U.S. immigration law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: migrationPolicyFramework Context triple: [United States–Honduras relations, migrationPolicyFramework, U.S. immigration law]
-
A.
migrationPolicy
Indicates the rules or strategies governing how entities move, transfer, or transition from one context, location, or state to another.
-
B.
policyFramework
chosen
Indicates the overarching set of principles, rules, and guidelines that govern how decisions and actions are structured and carried out within a particular domain or context.
-
C.
integrationPolicy
Indicates the rules or strategy governing how separate components, systems, or processes are combined and made to work together.
-
D.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
E.
migrationImpact
Indicates how migration influences or changes conditions, outcomes, or states within a given context.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a626b288190a27a30deb0ccabc3 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.