Triple

T9838524
Position Surface form Disambiguated ID Type / Status
Subject Symbolic Model Checking E239161 entity
Predicate usedInTool P25490 FINISHED
Object SMV
SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
E824079 NE FINISHED

How this triple was built (5 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: SMV | Statement: [Symbolic Model Checking, usedInTool, SMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMV
Context triple: [Symbolic Model Checking, usedInTool, SMV]
  • A. SMV
    SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
  • B. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • C. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • D. SMO
    SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
  • E. SM
    SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
  • 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: SMV
Triple: [Symbolic Model Checking, usedInTool, SMV]
Generated description
SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SMV
Target entity description: SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
  • A. SMV
    SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
  • B. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • C. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • D. SMO
    SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
  • E. SM
    SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInTool
Context triple: [Symbolic Model Checking, usedInTool, SMV]
  • A. usedByTool
    Indicates that a particular tool is employed or operated by a specified agent or entity.
  • B. areUsedIn chosen
    Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
  • C. usesToolType
    Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
  • D. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • E. usedOn
    Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
  • F. None of above.

Provenance (6 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34921b881909836ba0f5b42a27b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d145ac8190ad10a4328216ef54 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6bb23cc81909efbeccf147018e8 completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d726e58c819090135d1ff275d2d8 completed April 5, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69cd03e30bc08190816c0a6d29c21b0f completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:33 p.m.