Triple

T14894980
Position Surface form Disambiguated ID Type / Status
Subject UPC Switzerland E359847 entity
Predicate hasFormerName P65 FINISHED
Object Cablecom
Cablecom was a major Swiss cable television and telecommunications provider that later became known as UPC Switzerland.
 E1127447 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: Cablecom | Statement: [UPC Switzerland, hasFormerName, Cablecom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cablecom
Context triple: [UPC Switzerland, hasFormerName, Cablecom]
  • A. Telenet Group
    Telenet Group is a major Belgian telecommunications and entertainment provider offering services such as broadband internet, television, and mobile telephony.
  • B. Ziggo
    Ziggo is a major Dutch cable operator and telecommunications company providing television, internet, and phone services.
  • C. Deutsche Telekom
    Deutsche Telekom is a major German telecommunications company and one of the largest telecom providers in Europe, offering mobile, fixed-line, and internet services worldwide.
  • D. Magyar Telekom
    Magyar Telekom is Hungary’s leading telecommunications provider, offering mobile, fixed-line, and internet services as part of the Deutsche Telekom group.
  • E. KPN
    KPN is the abbreviation commonly used for the Korean People's Navy, the maritime branch of North Korea's armed forces.
  • 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: Cablecom
Triple: [UPC Switzerland, hasFormerName, Cablecom]
Generated description
Cablecom was a major Swiss cable television and telecommunications provider that later became known as UPC Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cablecom
Target entity description: Cablecom was a major Swiss cable television and telecommunications provider that later became known as UPC Switzerland.
  • A. Telenet Group
    Telenet Group is a major Belgian telecommunications and entertainment provider offering services such as broadband internet, television, and mobile telephony.
  • B. Ziggo
    Ziggo is a major Dutch cable operator and telecommunications company providing television, internet, and phone services.
  • C. Deutsche Telekom
    Deutsche Telekom is a major German telecommunications company and one of the largest telecom providers in Europe, offering mobile, fixed-line, and internet services worldwide.
  • D. Magyar Telekom
    Magyar Telekom is Hungary’s leading telecommunications provider, offering mobile, fixed-line, and internet services as part of the Deutsche Telekom group.
  • E. KPN
    KPN is the abbreviation commonly used for the Korean People's Navy, the maritime branch of North Korea's armed forces.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6070b248190be8f4f91a0c0b1f3 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b11584819084f32516cb0023a1 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe73ee0da48190b8909009e0dc517b completed May 8, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe748da7948190b7253b9dc09ae9fa completed May 8, 2026, 11:41 p.m.
Created at: April 10, 2026, 2:10 a.m.