Triple

T13857436
Position Surface form Disambiguated ID Type / Status
Subject Diversity Immigrant Visa E333101 entity
Predicate alsoKnownAs P39 FINISHED
Object DV
DV is the commonly used abbreviation for the U.S. Diversity Immigrant Visa program, which allocates permanent resident visas by lottery to individuals from countries with historically low rates of immigration to the United States.
E1066941 NE FINISHED

How this triple was built (4 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: DV | Statement: [Diversity Immigrant Visa, alsoKnownAs, DV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DV
Context triple: [Diversity Immigrant Visa, alsoKnownAs, DV]
  • A. DV
    DV is the standard abbreviation for *Dei Verbum*, the Second Vatican Council’s Dogmatic Constitution on Divine Revelation.
  • B. DV
    DV is the stock ticker symbol for DeVry Inc., a for-profit higher education company traded on public markets.
  • C. VIDO
    VIDO is a Canadian research organization at the University of Saskatchewan specializing in vaccine development and infectious disease research for both humans and animals.
  • D. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • E. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DV
Triple: [Diversity Immigrant Visa, alsoKnownAs, DV]
Generated description
DV is the commonly used abbreviation for the U.S. Diversity Immigrant Visa program, which allocates permanent resident visas by lottery to individuals from countries with historically low rates of immigration to the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DV
Target entity description: DV is the commonly used abbreviation for the U.S. Diversity Immigrant Visa program, which allocates permanent resident visas by lottery to individuals from countries with historically low rates of immigration to the United States.
  • A. DV
    DV is the stock ticker symbol for DeVry Inc., a for-profit higher education company traded on public markets.
  • B. DV
    DV is the standard abbreviation for *Dei Verbum*, the Second Vatican Council’s Dogmatic Constitution on Divine Revelation.
  • C. VIDO
    VIDO is a Canadian research organization at the University of Saskatchewan specializing in vaccine development and infectious disease research for both humans and animals.
  • D. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • E. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_69f7c0fb7c3c819081fc6f89aa17d6af completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c2c711948190ac614291592a7e03 completed May 3, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69f7c36f28b48190b734a9e5e7ae39b9 completed May 3, 2026, 9:51 p.m.
Created at: April 9, 2026, 10:14 p.m.