Triple

T22694304
Position Surface form Disambiguated ID Type / Status
Subject Fiskars Corporation E561130 entity
Predicate stockSymbol P1447 FINISHED
Object FSKRS
FSKRS is the stock ticker symbol for Fiskars Corporation, a Finnish consumer goods company best known for its orange-handled scissors and home, garden, and outdoor products.
 E1551071 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: FSKRS | Statement: [Fiskars Corporation, stockSymbol, FSKRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FSKRS
Context triple: [Fiskars Corporation, stockSymbol, FSKRS]
  • A. FSR
    FSR is AMD's open-source spatial upscaling technology designed to boost gaming performance and image quality across a wide range of GPUs.
  • B. 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.
  • C. FSK
    FSK is Norway’s premier special operations force, known for conducting high-risk counterterrorism, reconnaissance, and special missions at home and abroad.
  • D. FSK
    FSK is the IATA airport code for Fort Scott Municipal Airport, a public airport serving Fort Scott, Kansas, United States.
  • E. FSK
    FSK is the National Rail station code assigned to Finstock railway station in Oxfordshire, England.
  • 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: FSKRS
Triple: [Fiskars Corporation, stockSymbol, FSKRS]
Generated description
FSKRS is the stock ticker symbol for Fiskars Corporation, a Finnish consumer goods company best known for its orange-handled scissors and home, garden, and outdoor products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FSKRS
Target entity description: FSKRS is the stock ticker symbol for Fiskars Corporation, a Finnish consumer goods company best known for its orange-handled scissors and home, garden, and outdoor products.
  • A. FSR
    FSR is AMD's open-source spatial upscaling technology designed to boost gaming performance and image quality across a wide range of GPUs.
  • B. 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.
  • C. FSK
    FSK is Norway’s premier special operations force, known for conducting high-risk counterterrorism, reconnaissance, and special missions at home and abroad.
  • D. FSK
    FSK is the IATA airport code for Fort Scott Municipal Airport, a public airport serving Fort Scott, Kansas, United States.
  • E. FSK
    FSK is the National Rail station code assigned to Finstock railway station in Oxfordshire, England.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789d46c881908176bc8e26f366f6 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ece75648190a841256cf08a72f8 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b834f488c8190bee40bd1caea0e40 completed May 18, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b8717b65c819089d29c1802d1ed55 completed May 18, 2026, 9:39 p.m.
Created at: April 17, 2026, 3:14 p.m.