Triple

T4548311
Position Surface form Disambiguated ID Type / Status
Subject Swiss Broadcasting Corporation E110097 entity
Predicate abbreviation P43 FINISHED
Object SSR
SSR is the Swiss Broadcasting Corporation, Switzerland’s national public service broadcaster providing radio, television, and online media in multiple languages.
 E452046 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: SSR | Statement: [Swiss Broadcasting Corporation, abbreviation, SSR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SSR
Context triple: [Swiss Broadcasting Corporation, abbreviation, SSR]
  • A. SSU
    SSU is a public liberal arts university located in Rohnert Park, California, known for its strong programs in the arts, sciences, and education.
  • B. SSV
    SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
  • C. SSR Advisory Team
    The SSR Advisory Team is a specialized unit that provides expert guidance and support on security sector reform within United Nations peace operations.
  • D. .ss
    .ss is the country code top-level domain (ccTLD) assigned to South Sudan for use in its internet addresses.
  • E. SS
    SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
  • 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: SSR
Triple: [Swiss Broadcasting Corporation, abbreviation, SSR]
Generated description
SSR is the Swiss Broadcasting Corporation, Switzerland’s national public service broadcaster providing radio, television, and online media in multiple languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SSR
Target entity description: SSR is the Swiss Broadcasting Corporation, Switzerland’s national public service broadcaster providing radio, television, and online media in multiple languages.
  • A. SSU
    SSU is a public liberal arts university located in Rohnert Park, California, known for its strong programs in the arts, sciences, and education.
  • B. SSV
    SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
  • C. SSR Advisory Team
    The SSR Advisory Team is a specialized unit that provides expert guidance and support on security sector reform within United Nations peace operations.
  • D. .ss
    .ss is the country code top-level domain (ccTLD) assigned to South Sudan for use in its internet addresses.
  • E. SS
    SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f272248190983ae439bd0ac0cc completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb945bd3881908e6c3f5f91b5f38e completed March 20, 2026, 9:16 p.m.
NEDg Description generation batch_69bdbecf94d0819087519e44aab5a035 completed March 20, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69bdbf81f1208190946611fb6a1c20ba completed March 20, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:05 p.m.