Triple

T13857448
Position Surface form Disambiguated ID Type / Status
Subject Diversity Immigrant Visa E333101 entity
Predicate regionAllocation P1043 FINISHED
Object visas distributed among six geographic regions 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: visas distributed among six geographic regions | Statement: [Diversity Immigrant Visa, regionAllocation, visas distributed among six geographic regions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionAllocation
Context triple: [Diversity Immigrant Visa, regionAllocation, visas distributed among six geographic regions]
  • A. allocation
    Indicates the distribution or assignment of resources, responsibilities, or items among entities according to some rule or plan.
  • B. blockAllocationStrategy
    Indicates how blocks are chosen, sized, or arranged when allocating storage or memory resources.
  • C. addressAllocation
    Indicates the assignment or reservation of an address (such as an IP or memory address) for use by a specific entity or resource.
  • D. regionLocking
    Indicates that access to or use of something is restricted based on the geographic region of the user or device.
  • E. allocates chosen
    Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
  • 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.