Triple
T13857526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EB-1 priority workers immigrant visa |
E333102
|
entity |
| Predicate | applicantLocation |
P24950
|
FINISHED |
| Object | can be filed from inside or outside the United 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: can be filed from inside or outside the United States | Statement: [EB-1 priority workers immigrant visa, applicantLocation, can be filed from inside or outside the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applicantLocation Context triple: [EB-1 priority workers immigrant visa, applicantLocation, can be filed from inside or outside the United States]
-
A.
recruitmentLocation
Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
-
B.
residencyLocation
chosen
Indicates the place where an entity lives or maintains its primary residence.
-
C.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
D.
subjectLocation
Indicates that one entity is located at, in, or near the place or position specified by another entity.
-
E.
studCareerLocation
Indicates the place where a student's academic or professional career activities occur or are based.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.