Triple

T22337341
Position Surface form Disambiguated ID Type / Status
Subject Raleigh–Durham–Fayetteville television market E552184 entity
Predicate hasMajorNetworkAffiliate P106133 FINISHED
Object WRAZ
WRAZ is a television station serving the Raleigh–Durham–Fayetteville market, best known as the area’s Fox network affiliate.
 E1530684 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: WRAZ | Statement: [Raleigh–Durham–Fayetteville television market, hasMajorNetworkAffiliate, WRAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WRAZ
Context triple: [Raleigh–Durham–Fayetteville television market, hasMajorNetworkAffiliate, WRAZ]
  • A. WRAN
    WRAN (Wireless Regional Area Network) is a broadband wireless networking standard designed to provide high-speed internet access over large rural and remote areas using unused TV broadcast spectrum.
  • B. WARR
    WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
  • C. WRE
    WRE is the IATA airport code for Whangārei Airport in Whangārei, New Zealand.
  • D. WARJ
    WARJ is the ICAO airport code for Adisutjipto International Airport serving the Yogyakarta area in Indonesia.
  • E. WARA
    WARA is the ICAO airport code for Abdul Rachman Saleh Airport in Malang, East Java, Indonesia.
  • 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: WRAZ
Triple: [Raleigh–Durham–Fayetteville television market, hasMajorNetworkAffiliate, WRAZ]
Generated description
WRAZ is a television station serving the Raleigh–Durham–Fayetteville market, best known as the area’s Fox network affiliate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WRAZ
Target entity description: WRAZ is a television station serving the Raleigh–Durham–Fayetteville market, best known as the area’s Fox network affiliate.
  • A. WRAN
    WRAN (Wireless Regional Area Network) is a broadband wireless networking standard designed to provide high-speed internet access over large rural and remote areas using unused TV broadcast spectrum.
  • B. WARR
    WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
  • C. WRE
    WRE is the IATA airport code for Whangārei Airport in Whangārei, New Zealand.
  • D. WARJ
    WARJ is the ICAO airport code for Adisutjipto International Airport serving the Yogyakarta area in Indonesia.
  • E. WARA
    WARA is the ICAO airport code for Abdul Rachman Saleh Airport in Malang, East Java, Indonesia.
  • 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.