Triple

T7857274
Position Surface form Disambiguated ID Type / Status
Subject State Bank of Pakistan E182408 entity
Predicate alsoKnownAs P39 FINISHED
Object SBP
SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
 E700866 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: SBP | Statement: [State Bank of Pakistan, alsoKnownAs, SBP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SBP
Context triple: [State Bank of Pakistan, alsoKnownAs, SBP]
  • A. SBP
    SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
  • B. SBSP
    SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • C. SB
    SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
  • D. SB
    SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • E. SB
    SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
  • 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: SBP
Triple: [State Bank of Pakistan, alsoKnownAs, SBP]
Generated description
SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SBP
Target entity description: SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
  • A. SBP
    SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
  • B. SBSP
    SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • C. SB
    SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
  • D. SB
    SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • E. SB
    SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a75de548190af5653409a3b3881 completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b2e2980819083369668938bae9c completed March 31, 2026, 5:27 a.m.
NEDg Description generation batch_69cb762fda2c81908ed508e12cabb938 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf706e888190bfd08d9d78945c49 completed March 31, 2026, 12:34 p.m.
Created at: March 30, 2026, 4:52 p.m.