Triple

T3149655
Position Surface form Disambiguated ID Type / Status
Subject Fox Television Stations E65844 entity
Predicate ownsStation P19286 FINISHED
Object WRBW
WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
 E331308 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: WRBW | Statement: [Fox Television Stations, ownsStation, WRBW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WRBW
Context triple: [Fox Television Stations, ownsStation, WRBW]
  • A. WLBZ
    WLBZ is a television station serving the Bangor, Maine market as a primary network affiliate.
  • B. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • C. WCBW
    WCBW was the original call sign of the New York City television station now known as WCBS-TV, one of the earliest commercial TV stations in the United States.
  • D. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • E. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • 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: WRBW
Triple: [Fox Television Stations, ownsStation, WRBW]
Generated description
WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WRBW
Target entity description: WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
  • A. WLBZ
    WLBZ is a television station serving the Bangor, Maine market as a primary network affiliate.
  • B. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • C. WCBW
    WCBW was the original call sign of the New York City television station now known as WCBS-TV, one of the earliest commercial TV stations in the United States.
  • D. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • E. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225b27e1c8190a3df0d4692ee66c6 completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b226339e4881908690f7ea7a7bd50c completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.