Triple
T34159696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H-2A temporary agricultural worker program |
E876242
|
entity |
| Predicate | workerNationality |
P178452
|
FINISHED |
| Object | foreign nationals |
—
|
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: foreign nationals | Statement: [H-2A temporary agricultural worker program, workerNationality, foreign nationals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workerNationality Context triple: [H-2A temporary agricultural worker program, workerNationality, foreign nationals]
-
A.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
B.
operatorNationality
Indicates that an operator has a specific national affiliation or country of origin.
-
C.
userNationality
Indicates that a user has a specific national affiliation or citizenship.
-
D.
builderNationality
Indicates the country or national affiliation of the entity that built or constructed another entity.
-
E.
workSubjectNationality
Indicates that the subject of a work has a specified nationality.
- F. None of above. chosen
Provenance (4 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:54 a.m.