Triple

T12368281
Position Surface form Disambiguated ID Type / Status
Subject SIGBED E294927 entity
Predicate supportsConference P2576 FINISHED
Object EMSOFT
EMSOFT is a leading international conference focused on research and advances in embedded software and systems.
E978080 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: EMSOFT | Statement: [SIGBED, supportsConference, EMSOFT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMSOFT
Context triple: [SIGBED, supportsConference, EMSOFT]
  • A. Green Hills Software
    Green Hills Software is an American company specializing in high-reliability, safety- and security-focused embedded software development tools and real-time operating systems.
  • B. Eiffel Software
    Eiffel Software is a software company best known for developing the Eiffel programming language and tools that emphasize object-oriented design and software reliability.
  • C. VxWorks
    VxWorks is a real-time operating system (RTOS) widely used in embedded systems across industries such as aerospace, defense, telecommunications, and industrial automation.
  • D. Keil
    Keil is a German-origin surname borne by various notable individuals, including Portuguese composer Alfredo Keil.
  • E. LynxOS
    LynxOS is a real-time, POSIX-compliant operating system designed for embedded and mission-critical applications, particularly in aerospace, defense, and industrial systems.
  • 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: EMSOFT
Triple: [SIGBED, supportsConference, EMSOFT]
Generated description
EMSOFT is a leading international conference focused on research and advances in embedded software and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EMSOFT
Target entity description: EMSOFT is a leading international conference focused on research and advances in embedded software and systems.
  • A. Green Hills Software
    Green Hills Software is an American company specializing in high-reliability, safety- and security-focused embedded software development tools and real-time operating systems.
  • B. Eiffel Software
    Eiffel Software is a software company best known for developing the Eiffel programming language and tools that emphasize object-oriented design and software reliability.
  • C. VxWorks
    VxWorks is a real-time operating system (RTOS) widely used in embedded systems across industries such as aerospace, defense, telecommunications, and industrial automation.
  • D. Keil
    Keil is a German-origin surname borne by various notable individuals, including Portuguese composer Alfredo Keil.
  • E. LynxOS
    LynxOS is a real-time, POSIX-compliant operating system designed for embedded and mission-critical applications, particularly in aerospace, defense, and industrial systems.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa502988190ba170dee90d9f394 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abdad1c8190b083791d60138f2a completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d4d0b8881908aa6b67db7d14609 completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.