Triple

T2503654
Position Surface form Disambiguated ID Type / Status
Subject Vietnam Era Veterans’ Readjustment Assistance Act of 1974 E52525 entity
Predicate shortName P43 FINISHED
Object VEVRAA
VEVRAA is a U.S. federal law that requires certain federal contractors and subcontractors to take affirmative action to employ and advance qualified protected veterans.
 E272250 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: VEVRAA | Statement: [Vietnam Era Veterans’ Readjustment Assistance Act of 1974, shortName, VEVRAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VEVRAA
Context triple: [Vietnam Era Veterans’ Readjustment Assistance Act of 1974, shortName, VEVRAA]
  • A. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • B. EGVA
    EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VEKU
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • E. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • 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: VEVRAA
Triple: [Vietnam Era Veterans’ Readjustment Assistance Act of 1974, shortName, VEVRAA]
Generated description
VEVRAA is a U.S. federal law that requires certain federal contractors and subcontractors to take affirmative action to employ and advance qualified protected veterans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VEVRAA
Target entity description: VEVRAA is a U.S. federal law that requires certain federal contractors and subcontractors to take affirmative action to employ and advance qualified protected veterans.
  • A. VRA
    VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
  • B. EGVA
    EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VEKU
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • E. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cd2db0819087d21ec49ffd9585 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa34dc8819085681d673e45d841 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af2031a64c819080b1c4a3b941d84c completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20bf8e488190ac79327042d47853 completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.