Triple

T1533970
Position Surface form Disambiguated ID Type / Status
Subject Vietnam Airlines E32508 entity
Predicate ICAOCode P419 FINISHED
Object HVN
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
 E174881 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: HVN | Statement: [Vietnam Airlines, ICAOCode, HVN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HVN
Context triple: [Vietnam Airlines, ICAOCode, HVN]
  • A. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • B. HAVA
    HAVA is the commonly used acronym for the Help America Vote Act, a U.S. federal law enacted to improve the administration and security of elections.
  • C. HARV
    HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
  • D. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • E. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • 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: HVN
Triple: [Vietnam Airlines, ICAOCode, HVN]
Generated description
HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HVN
Target entity description: HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
  • A. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • B. HAVA
    HAVA is the commonly used acronym for the Help America Vote Act, a U.S. federal law enacted to improve the administration and security of elections.
  • C. HARV
    HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
  • D. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • E. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295a03d881909071fb437c2d19ba completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a1957e481908b07d3f4df75fbfe completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2b2929348190ac35ff8d405894d6 completed March 8, 2026, 7:54 a.m.
Created at: March 4, 2026, 7:26 p.m.