Triple

T7325378
Position Surface form Disambiguated ID Type / Status
Subject Connectivity Standards Alliance E168858 entity
Predicate standardDeveloped P1371 FINISHED
Object Dotdot
Dotdot is an application-layer IoT standard that provides a universal, IP-based language for smart devices to communicate and interoperate across different networks and ecosystems.
 E657712 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: Dotdot | Statement: [Connectivity Standards Alliance, standardDeveloped, Dotdot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dotdot
Context triple: [Connectivity Standards Alliance, standardDeveloped, Dotdot]
  • A. K.Dot
    K.Dot is the early stage name used by acclaimed American rapper and songwriter Kendrick Lamar.
  • B. Dot
    Dot is a young, adventurous ant princess from Pixar's animated film "A Bug's Life."
  • C. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • D. Dotty
    Dotty is a common diminutive given name, typically used as a nickname for Dorothy.
  • E. Dot.
    Dot. is a children's animated television series created by Randi Zuckerberg that follows a curious young girl using technology and imagination to explore the world around her.
  • 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: Dotdot
Triple: [Connectivity Standards Alliance, standardDeveloped, Dotdot]
Generated description
Dotdot is an application-layer IoT standard that provides a universal, IP-based language for smart devices to communicate and interoperate across different networks and ecosystems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dotdot
Target entity description: Dotdot is an application-layer IoT standard that provides a universal, IP-based language for smart devices to communicate and interoperate across different networks and ecosystems.
  • A. K.Dot
    K.Dot is the early stage name used by acclaimed American rapper and songwriter Kendrick Lamar.
  • B. Dot
    Dot is a young, adventurous ant princess from Pixar's animated film "A Bug's Life."
  • C. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • D. Dotty
    Dotty is a common diminutive given name, typically used as a nickname for Dorothy.
  • E. Dot.
    Dot. is a children's animated television series created by Randi Zuckerberg that follows a curious young girl using technology and imagination to explore the world around her.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f04993408190b73fb46d83a632d5 completed March 27, 2026, 9:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0a1200819089fe3e18493d8bee completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7ef7f7b7c8190b3361cc01b2eefc0 completed March 28, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_69c7f380dbe48190933e1eeff109185d completed March 28, 2026, 3:28 p.m.
Created at: March 27, 2026, 3:03 p.m.