Triple

T22337340
Position Surface form Disambiguated ID Type / Status
Subject Raleigh–Durham–Fayetteville television market E552184 entity
Predicate hasMajorNetworkAffiliate P106133 FINISHED
Object WNCN
WNCN is a television station serving the Raleigh–Durham–Fayetteville market and operating as the local CBS network affiliate.
 E1530683 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: WNCN | Statement: [Raleigh–Durham–Fayetteville television market, hasMajorNetworkAffiliate, WNCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WNCN
Context triple: [Raleigh–Durham–Fayetteville television market, hasMajorNetworkAffiliate, WNCN]
  • A. WDNC
    WDNC is the United States District Court for the Western District of North Carolina, a federal trial court within the Fourth Circuit.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. WNSH
    WNSH is a New York City-area radio station known for its country music format and association with major broadcasting networks.
  • D. WLTW
    WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
  • E. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • 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: WNCN
Triple: [Raleigh–Durham–Fayetteville television market, hasMajorNetworkAffiliate, WNCN]
Generated description
WNCN is a television station serving the Raleigh–Durham–Fayetteville market and operating as the local CBS network affiliate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WNCN
Target entity description: WNCN is a television station serving the Raleigh–Durham–Fayetteville market and operating as the local CBS network affiliate.
  • A. WDNC
    WDNC is the United States District Court for the Western District of North Carolina, a federal trial court within the Fourth Circuit.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. WNSH
    WNSH is a New York City-area radio station known for its country music format and association with major broadcasting networks.
  • D. WLTW
    WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
  • E. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157804e60819094e2a903ace6f4b2 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad52b995c819099fe22fe76e780ee completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad993b9188190aacf482038b3cd29 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada0cef848190864a88d7baa24a81 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:43 p.m.