Triple
T13857516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EB-1 priority workers immigrant visa |
E333102
|
entity |
| Predicate | selfPetitionAllowedForEB1A |
P111810
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [EB-1 priority workers immigrant visa, selfPetitionAllowedForEB1A, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selfPetitionAllowedForEB1A Context triple: [EB-1 priority workers immigrant visa, selfPetitionAllowedForEB1A, yes]
-
A.
canBePetitionedBy
Indicates that an entity is eligible to receive formal petitions, requests, or appeals from another entity.
-
B.
appliesToCitizenshipStatus
Indicates that something (such as a rule, benefit, restriction, or condition) is relevant to or governs individuals based on their citizenship status.
-
C.
containsPetition
Indicates that one entity includes or holds a petition within it, either as content or as a component.
-
D.
appliedFor
Indicates that an entity has submitted a request or application to another entity for a position, service, benefit, or opportunity.
-
E.
mayHoldCitizenshipOf
Indicates that an entity is allowed or eligible to possess citizenship status of a specified country or jurisdiction.
- 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_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. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:14 p.m.