Triple

T6607023
Position Surface form Disambiguated ID Type / Status
Subject State Bank of Vietnam E149142 entity
Predicate hasAbbreviation P43 FINISHED
Object NHNN
NHNN is the Vietnamese abbreviation for the State Bank of Vietnam, the country’s central bank responsible for monetary policy and financial regulation.
 E599747 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: NHNN | Statement: [State Bank of Vietnam, hasAbbreviation, NHNN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NHNN
Context triple: [State Bank of Vietnam, hasAbbreviation, NHNN]
  • A. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • B. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • C. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • D. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • E. HN
    HN is the vehicle registration code for the city of Heilbronn in the German state of Baden-Württemberg.
  • 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: NHNN
Triple: [State Bank of Vietnam, hasAbbreviation, NHNN]
Generated description
NHNN is the Vietnamese abbreviation for the State Bank of Vietnam, the country’s central bank responsible for monetary policy and financial regulation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NHNN
Target entity description: NHNN is the Vietnamese abbreviation for the State Bank of Vietnam, the country’s central bank responsible for monetary policy and financial regulation.
  • A. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • B. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • C. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • D. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • E. HN
    HN is the vehicle registration code for the city of Heilbronn in the German state of Baden-Württemberg.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af15c0e481908c5d2917360b075e completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbce25b481908d600d38d3c5b871 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd0a98908190a5725c49bad7589d completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdcc10c08190aa98212bd17063a3 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:57 p.m.