Triple

T579198
Position Surface form Disambiguated ID Type / Status
Subject Virgin Media (UK) E15020 entity
Predicate competitor P1375 FINISHED
Object TalkTalk
TalkTalk is a UK-based telecommunications company that provides broadband, TV, and phone services to residential and business customers.
E72570 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: TalkTalk | Statement: [Virgin Media (UK), competitor, TalkTalk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TalkTalk
Context triple: [Virgin Media (UK), competitor, TalkTalk]
  • A. Channel
    Channel is a common alternative name for the English Channel, the narrow arm of the Atlantic Ocean that separates southern England from northern France.
  • B. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • C. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • D. General
    A General is a high-ranking military officer, typically commanding large units or formations and serving as one of the senior leaders within an armed force.
  • E. Forum
    Forum is an independent, avant-garde section of the Berlin International Film Festival that showcases experimental, innovative, and often politically engaged cinema from around the world.
  • 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: TalkTalk
Triple: [Virgin Media (UK), competitor, TalkTalk]
Generated description
TalkTalk is a UK-based telecommunications company that provides broadband, TV, and phone services to residential and business customers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TalkTalk
Target entity description: TalkTalk is a UK-based telecommunications company that provides broadband, TV, and phone services to residential and business customers.
  • A. Channel
    Channel is a common alternative name for the English Channel, the narrow arm of the Atlantic Ocean that separates southern England from northern France.
  • B. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • C. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • D. General
    A General is a high-ranking military officer, typically commanding large units or formations and serving as one of the senior leaders within an armed force.
  • E. Forum
    Forum is an independent, avant-garde section of the Berlin International Film Festival that showcases experimental, innovative, and often politically engaged cinema from around the world.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b6c358081908f458b9e3e208c0d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501c1b8448190847197d984f211c3 completed March 2, 2026, 3:19 a.m.
NEDg Description generation batch_69a503b501388190baed19e781c24b4d completed March 2, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69a5077cf14081909478ea1e0fd3eff5 completed March 2, 2026, 3:43 a.m.
Created at: March 1, 2026, 7:33 p.m.