Triple

T309977
Position Surface form Disambiguated ID Type / Status
Subject FRS E6383 entity
Predicate isDistinctFrom P1612 FINISHED
Object FRSA
FRSA is the post-nominal designation for a Fellow of the Royal Society of Arts, an honor recognizing significant contributions to social progress and development in the arts, manufacturing, and commerce.
 E40234 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: FRSA | Statement: [FRS, isDistinctFrom, FRSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRSA
Context triple: [FRS, isDistinctFrom, FRSA]
  • 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. FRSC
    FRSC is the post-nominal designation used by Fellows of the Royal Society of Canada, recognizing outstanding scholarly, scientific, or artistic achievement.
  • C. FSA
    FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
  • D. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • E. FRA
    FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
  • 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: FRSA
Triple: [FRS, isDistinctFrom, FRSA]
Generated description
FRSA is the post-nominal designation for a Fellow of the Royal Society of Arts, an honor recognizing significant contributions to social progress and development in the arts, manufacturing, and commerce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRSA
Target entity description: FRSA is the post-nominal designation for a Fellow of the Royal Society of Arts, an honor recognizing significant contributions to social progress and development in the arts, manufacturing, and commerce.
  • 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. FRSC
    FRSC is the post-nominal designation used by Fellows of the Royal Society of Canada, recognizing outstanding scholarly, scientific, or artistic achievement.
  • C. FSA
    FSA is the abbreviation for the former U.S. Federal Security Agency, a government body that once oversaw various federal social and public health programs.
  • D. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • E. FRA
    FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea4778cc8190be7b648a82542891 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3bc255b308190b3f92e81801e65eb completed March 1, 2026, 4:10 a.m.
NEDg Description generation batch_69a3bcbe01108190b5552d6db99f481a completed March 1, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_69a3bd195c5c8190b5580c21100215a7 completed March 1, 2026, 4:14 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.