Triple

T2081662
Position Surface form Disambiguated ID Type / Status
Subject Bangor television market E45256 entity
Predicate hasNetworkAffiliate P1721 FINISHED
Object WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
E231469 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: WABI-TV | Statement: [Bangor television market, hasNetworkAffiliate, WABI-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WABI-TV
Context triple: [Bangor television market, hasNetworkAffiliate, WABI-TV]
  • A. WLNY-TV
    WLNY-TV is a New York-area independent television station that operates as a sister outlet to CBS flagship WCBS-TV, airing a mix of syndicated programming and locally focused content.
  • B. WNYE-TV
    WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural programming.
  • C. WAFF
    WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
  • D. WLWT
    WLWT is a Cincinnati-based television station that serves as a major local NBC affiliate in the United States.
  • E. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, 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: WABI-TV
Triple: [Bangor television market, hasNetworkAffiliate, WABI-TV]
Generated description
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WABI-TV
Target entity description: WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • A. WLNY-TV
    WLNY-TV is a New York-area independent television station that operates as a sister outlet to CBS flagship WCBS-TV, airing a mix of syndicated programming and locally focused content.
  • B. WNYE-TV
    WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural programming.
  • C. WAFF
    WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
  • D. WLWT
    WLWT is a Cincinnati-based television station that serves as a major local NBC affiliate in the United States.
  • E. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbdc11a048190ba3bbc60f90f34e1 completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273ad87c8190a7b1407868692202 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27b2c9d08190b1950abd8d41d3b3 completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2817ce3c81908e48170760cf98ef completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:41 p.m.