Triple

T1257835
Position Surface form Disambiguated ID Type / Status
Subject ICQ E12432 entity
Predicate developer P73 FINISHED
Object VK
VK is a major Russian technology company best known for operating the VKontakte social networking service and other popular online platforms.
 E143098 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: VK | Statement: [ICQ, developer, VK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VK
Context triple: [ICQ, developer, VK]
  • A. Telegram
    Telegram is a cloud-based instant messaging service known for its speed, security features, and support for large group chats and channels across multiple platforms.
  • B. .vc
    .vc is the country code top-level domain (ccTLD) assigned to Saint Vincent and the Grenadines, often also used creatively for various commercial and personal websites.
  • C. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • D. WhatsApp
    WhatsApp is a widely used cross-platform messaging application that allows users to send text, voice, and multimedia messages and make voice and video calls over the internet.
  • E. ICQ
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • 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: VK
Triple: [ICQ, developer, VK]
Generated description
VK is a major Russian technology company best known for operating the VKontakte social networking service and other popular online platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VK
Target entity description: VK is a major Russian technology company best known for operating the VKontakte social networking service and other popular online platforms.
  • A. Telegram
    Telegram is a cloud-based instant messaging service known for its speed, security features, and support for large group chats and channels across multiple platforms.
  • B. .vc
    .vc is the country code top-level domain (ccTLD) assigned to Saint Vincent and the Grenadines, often also used creatively for various commercial and personal websites.
  • C. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • D. WhatsApp
    WhatsApp is a widely used cross-platform messaging application that allows users to send text, voice, and multimedia messages and make voice and video calls over the internet.
  • E. ICQ
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfaa2b508190a3f61c67b3fa3ad4 completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93cdba808190b7d164bb98efe3dc completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac94c0e6548190a2d40e3ac1a279ce completed March 7, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_69ac9531c2f08190b570fcb7b035ea87 completed March 7, 2026, 9:14 p.m.
Created at: March 1, 2026, 7:50 p.m.