Triple

T1990393
Position Surface form Disambiguated ID Type / Status
Subject Bank of Korea E43238 entity
Predicate shortName P43 FINISHED
Object BOK
BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
 E221465 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: BOK | Statement: [Bank of Korea, shortName, BOK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BOK
Context triple: [Bank of Korea, shortName, BOK]
  • A. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • B. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • C. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • D. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • E. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • 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: BOK
Triple: [Bank of Korea, shortName, BOK]
Generated description
BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BOK
Target entity description: BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • A. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • B. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • C. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • D. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • E. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8451fe8819093531052f4533c36 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0336177c8190bb9d3d921fff13e8 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03b52ed08190a8c8fb8f81073bb3 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0433b90c81909af348d9a3dcdbec completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.