Triple
T28514876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J-1 Exchange Visitor Program |
E721586
|
entity |
| Predicate | nonimmigrantStatus |
P164604
|
FINISHED |
| Object | J-1 exchange visitor |
—
|
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: J-1 exchange visitor | Statement: [J-1 Exchange Visitor Program, nonimmigrantStatus, J-1 exchange visitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonimmigrantStatus Context triple: [J-1 Exchange Visitor Program, nonimmigrantStatus, J-1 exchange visitor]
-
A.
საერთაშორისო სტატუსი
Indicates that an entity holds or is assigned a particular standing, rank, or recognition within the international or global context.
-
B.
legalStatusAtArrival
Indicates the legal status or classification an entity held at the time it first arrived at a particular place or jurisdiction.
-
C.
immigrationType
Indicates the specific category or classification of an individual’s immigration status or entry into a country.
-
D.
residencyStatus
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
E.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64f78a2f48190b134be8272852b78 |
completed | May 2, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 3:16 a.m.