Triple
T32060830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernie Lumen |
E818741
|
entity |
| Predicate | immigrantStatus |
P36584
|
FINISHED |
| Object | immigrant to Element City |
—
|
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: immigrant to Element City | Statement: [Bernie Lumen, immigrantStatus, immigrant to Element City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrantStatus Context triple: [Bernie Lumen, immigrantStatus, immigrant to Element City]
-
A.
nonimmigrantStatus
Indicates that an individual holds a temporary, non-permanent immigration classification allowing them to stay in a country for a specific purpose and limited duration.
-
B.
immigrationType
chosen
Indicates the specific category or classification of an individual’s immigration status or entry into a country.
-
C.
საერთაშორისო სტატუსი
Indicates that an entity holds or is assigned a particular standing, rank, or recognition within the international or global context.
-
D.
legalStatusAtArrival
Indicates the legal status or classification an entity held at the time it first arrived at a particular place or jurisdiction.
-
E.
legalStatusInDiaspora
Indicates the legal status or classification an entity holds while residing outside its country or place of origin.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4f5356c8190848a6ecf234db9da |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:21 a.m.