Triple

T3325599
Position Surface form Disambiguated ID Type / Status
Subject Financial Stability Review E69906 entity
Predicate hasAbbreviation P43 FINISHED
Object FSR
FSR is a periodic publication by central banks or financial authorities that assesses risks and vulnerabilities in the financial system to support economic stability and policy decisions.
 E348613 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: FSR | Statement: [Financial Stability Review, hasAbbreviation, FSR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FSR
Context triple: [Financial Stability Review, hasAbbreviation, FSR]
  • A. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • B. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • C. SFS
    SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • D. FSD
    FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
  • E. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • 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: FSR
Triple: [Financial Stability Review, hasAbbreviation, FSR]
Generated description
FSR is a periodic publication by central banks or financial authorities that assesses risks and vulnerabilities in the financial system to support economic stability and policy decisions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FSR
Target entity description: FSR is a periodic publication by central banks or financial authorities that assesses risks and vulnerabilities in the financial system to support economic stability and policy decisions.
  • A. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • B. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • C. SFS
    SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • D. FSD
    FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
  • E. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16ca13c8190aea8caed8ccd9b88 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7b26248190b9bf159982d7d19e completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31e4ca140819099de4546b0cb14d6 completed March 12, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69b31ec53b848190b56ca349f53ff447 completed March 12, 2026, 8:15 p.m.
Created at: March 8, 2026, 3:11 p.m.