Triple
T31307780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States to Latin America remittance corridor |
E798379
|
entity |
| Predicate | mainRecipientType |
P379
|
FINISHED |
| Object | households |
—
|
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: households | Statement: [United States to Latin America remittance corridor, mainRecipientType, households]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRecipientType Context triple: [United States to Latin America remittance corridor, mainRecipientType, households]
-
A.
mainRecipientPosition
Indicates the role or job position held by the primary recipient in a given interaction or transaction.
-
B.
individualRecipient
Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
-
C.
primaryRecipient
Indicates the entity that is the main or principal receiver of something, such as a message, resource, or benefit, in a given context.
-
D.
addresseeType
Indicates the role or category of the entity that is the intended recipient or target of a communication or message.
-
E.
hasTypeOfRecipient
chosen
Indicates that an entity is associated with a specific category or kind of recipient it is intended for or directed to.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.