Triple

T1720248
Position Surface form Disambiguated ID Type / Status
Subject SSH Communications Security E37372 entity
Predicate tickerSymbol P1447 FINISHED
Object SSH1V
SSH1V is the stock ticker symbol for SSH Communications Security, a Finnish company specializing in secure network communications and encryption solutions.
 E193885 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: SSH1V | Statement: [SSH Communications Security, tickerSymbol, SSH1V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SSH1V
Context triple: [SSH Communications Security, tickerSymbol, SSH1V]
  • A. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. SVHS
    SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
  • D. HVN
    HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
  • E. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • 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: SSH1V
Triple: [SSH Communications Security, tickerSymbol, SSH1V]
Generated description
SSH1V is the stock ticker symbol for SSH Communications Security, a Finnish company specializing in secure network communications and encryption solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SSH1V
Target entity description: SSH1V is the stock ticker symbol for SSH Communications Security, a Finnish company specializing in secure network communications and encryption solutions.
  • A. SHVO
    SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. SVHS
    SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
  • D. HVN
    HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
  • E. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63558d7c8190830cb8ee2e4a8932 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae98cd88190af4dc46679b3d93f completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957bd63c819099a508ca5c4102cc completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b18f9c8190a9c5ed80b5ed0195 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.