Triple
T9169243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Jordan |
E220040
|
entity |
| Predicate | remittanceSource |
P4594
|
FINISHED |
| Object | Jordanian workers in Gulf states |
—
|
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: Jordanian workers in Gulf states | Statement: [Economy of Jordan, remittanceSource, Jordanian workers in Gulf states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remittanceSource Context triple: [Economy of Jordan, remittanceSource, Jordanian workers in Gulf states]
-
A.
remittanceRole
Indicates the specific function or capacity an entity has in relation to sending, receiving, or processing a remittance.
-
B.
foreignRecipient
Indicates that something is received by an entity located in or belonging to a different country or jurisdiction than the source.
-
C.
remittancesUseInOriginCountry
Indicates how money sent as remittances is used or allocated within the sender’s country of origin.
-
D.
beneficiaryCountry
Indicates that one country is the recipient or beneficiary of aid, resources, or advantages provided in a given context.
-
E.
transmittedFrom
chosen
Indicates that something (such as information, a signal, or a disease) has been passed or conveyed from one source entity to another.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae0f3148190b111b22902cdb86c |
completed | April 1, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.