Triple

T4834566
Position Surface form Disambiguated ID Type / Status
Subject European System of Financial Supervision E108025 entity
Predicate alsoKnownAs P39 FINISHED
Object ESFS
ESFS is the acronym for the European System of Financial Supervision, the EU’s framework of supervisory authorities and bodies that oversee the stability and proper functioning of its financial system.
 E472690 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: ESFS | Statement: [European System of Financial Supervision, alsoKnownAs, ESFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESFS
Context triple: [European System of Financial Supervision, alsoKnownAs, ESFS]
  • A. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • 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. EBFS
    EBFS is the ICAO airport code for Florennes Air Base, a military airfield in Belgium.
  • E. FSE
    FSE is the Faculty of Science and Engineering at the University of Groningen, encompassing a broad range of natural sciences, engineering, and technology disciplines.
  • 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: ESFS
Triple: [European System of Financial Supervision, alsoKnownAs, ESFS]
Generated description
ESFS is the acronym for the European System of Financial Supervision, the EU’s framework of supervisory authorities and bodies that oversee the stability and proper functioning of its financial system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESFS
Target entity description: ESFS is the acronym for the European System of Financial Supervision, the EU’s framework of supervisory authorities and bodies that oversee the stability and proper functioning of its financial system.
  • A. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • 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. EBFS
    EBFS is the ICAO airport code for Florennes Air Base, a military airfield in Belgium.
  • E. FSE
    FSE is the Faculty of Science and Engineering at the University of Groningen, encompassing a broad range of natural sciences, engineering, and technology disciplines.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cde9b2081909f1aef81850d6007 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dda71e08190a28215f91405a4e1 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e7718708190a5eccce7ac124068 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f27f5a48190b639c9212e46f21d completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:25 p.m.