Triple

T217506
Position Surface form Disambiguated ID Type / Status
Subject Vietnam E4138 entity
Predicate ISO3166-1Alpha3Code P189 FINISHED
Object VNM
VNM is the three-letter ISO 3166-1 alpha-3 country code assigned to Vietnam.
 E27846 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: VNM | Statement: [Vietnam, ISO3166-1Alpha3Code, VNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VNM
Context triple: [Vietnam, ISO3166-1Alpha3Code, VNM]
  • A. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • B. NPVIC
    NPVIC is an agreement among U.S. states and the District of Columbia to award their electoral votes to the presidential candidate who wins the national popular vote.
  • C. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • D. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • E. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • 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: VNM
Triple: [Vietnam, ISO3166-1Alpha3Code, VNM]
Generated description
VNM is the three-letter ISO 3166-1 alpha-3 country code assigned to Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VNM
Target entity description: VNM is the three-letter ISO 3166-1 alpha-3 country code assigned to Vietnam.
  • A. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • B. NPVIC
    NPVIC is an agreement among U.S. states and the District of Columbia to award their electoral votes to the presidential candidate who wins the national popular vote.
  • C. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • D. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • E. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c5062e48190833be10e4770e1e9 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3441e48b48190849c7bff04134ac9 completed Feb. 28, 2026, 7:38 p.m.
NEDg Description generation batch_69a344ba0a4c8190986d490f502cb6ab completed Feb. 28, 2026, 7:40 p.m.
NED2 Entity disambiguation (via description) batch_69a34520805481909c4f1ea05262665b completed Feb. 28, 2026, 7:42 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.