Triple

T16323647
Position Surface form Disambiguated ID Type / Status
Subject WBZZ E396359 entity
Predicate callSignMeaning P15135 FINISHED
Object BuzZ
BuzZ is the branding name of radio station WBZZ, commonly associated with its on-air identity and marketing.
 E1206867 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: BuzZ | Statement: [WBZZ, callSignMeaning, BuzZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BuzZ
Context triple: [WBZZ, callSignMeaning, BuzZ]
  • A. Buz
    Buz is a minor biblical figure mentioned in the Old Testament as one of the descendants in the patriarchal genealogies.
  • B. Qbuzz
    Qbuzz is a Dutch public transport company that operates regional and urban bus services in various parts of the Netherlands.
  • C. BZZ
    BZZ is the IATA airport code for RAF Brize Norton, a major Royal Air Force transport and air-to-air refuelling base in Oxfordshire, England.
  • D. Buzz
    Buzz is the costumed bee mascot representing the Concordia Stingers athletic teams of Concordia University in Montreal.
  • E. Buzz
    Buzz is the nickname of Buzz Schneider, an American ice hockey player best known as a member of the 1980 U.S. "Miracle on Ice" Olympic team.
  • 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: BuzZ
Triple: [WBZZ, callSignMeaning, BuzZ]
Generated description
BuzZ is the branding name of radio station WBZZ, commonly associated with its on-air identity and marketing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BuzZ
Target entity description: BuzZ is the branding name of radio station WBZZ, commonly associated with its on-air identity and marketing.
  • A. Buz
    Buz is a minor biblical figure mentioned in the Old Testament as one of the descendants in the patriarchal genealogies.
  • B. Qbuzz
    Qbuzz is a Dutch public transport company that operates regional and urban bus services in various parts of the Netherlands.
  • C. BZZ
    BZZ is the IATA airport code for RAF Brize Norton, a major Royal Air Force transport and air-to-air refuelling base in Oxfordshire, England.
  • D. Buzz
    Buzz is the nickname of Edwin "Buzz" Aldrin, the American astronaut who became the second person to walk on the Moon during the Apollo 11 mission.
  • E. Buzz
    Buzz is the widely used nickname of American college basketball coach Buzz Williams.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b82fe88190a448597b7827f859 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ab4208190900f21cb4f08f926 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00276bc80c819083c88ea52c67cdad completed May 10, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a00281b056c8190bbfc4897a8d3973b completed May 10, 2026, 6:39 a.m.
Created at: April 10, 2026, 5:06 a.m.