Triple

T1850433
Position Surface form Disambiguated ID Type / Status
Subject Bank Indonesia E41382 entity
Predicate shortName P43 FINISHED
Object BI
BI is the commonly used abbreviation for Bank Indonesia, the central bank of the Republic of Indonesia responsible for monetary policy and financial system stability.
 E206374 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: BI | Statement: [Bank Indonesia, shortName, BI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BI
Context triple: [Bank Indonesia, shortName, BI]
  • A. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • B. CI
    CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
  • C. BY
    BY is the two-letter ISO 3166-1 alpha-2 country code assigned to Belarus.
  • D. BY
    BY is the IATA airline designator assigned to TUI Airways, a major UK-based leisure airline.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • 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: BI
Triple: [Bank Indonesia, shortName, BI]
Generated description
BI is the commonly used abbreviation for Bank Indonesia, the central bank of the Republic of Indonesia responsible for monetary policy and financial system stability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BI
Target entity description: BI is the commonly used abbreviation for Bank Indonesia, the central bank of the Republic of Indonesia responsible for monetary policy and financial system stability.
  • A. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • B. CI
    CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
  • C. BY
    BY is the two-letter ISO 3166-1 alpha-2 country code assigned to Belarus.
  • D. BY
    BY is the IATA airline designator assigned to TUI Airways, a major UK-based leisure airline.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb066bd6881909c8d6a6b63cb0ee5 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c5852081909e178b7e55c11bc7 completed March 8, 2026, 7:11 p.m.
NEDg Description generation batch_69adcaf23e748190a031625208f4cf17 completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbf835b48190aaeb61f34f6aafdc completed March 8, 2026, 7:20 p.m.
Created at: March 4, 2026, 7:33 p.m.