Triple

T527301
Position Surface form Disambiguated ID Type / Status
Subject WNYW E10947 entity
Predicate sisterStation P15137 FINISHED
Object WWOR-TV
WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
 E65996 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: WWOR-TV | Statement: [WNYW, sisterStation, WWOR-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WWOR-TV
Context triple: [WNYW, sisterStation, WWOR-TV]
  • A. WCBS-TV
    WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
  • B. WNYW (New York City)
    WNYW (New York City) is the primary Fox-owned television station serving the New York City metropolitan area.
  • C. WEEI (AM)
    WEEI (AM) is a Boston-based sports radio station known for its local and national sports talk programming and coverage of New England teams.
  • D. WEEI-FM
    WEEI-FM is a Boston-based sports radio station best known as a flagship broadcaster for Boston Red Sox games and related sports talk programming.
  • E. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • 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: WWOR-TV
Triple: [WNYW, sisterStation, WWOR-TV]
Generated description
WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WWOR-TV
Target entity description: WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
  • A. WCBS-TV
    WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
  • B. WNYW (New York City)
    WNYW (New York City) is the primary Fox-owned television station serving the New York City metropolitan area.
  • C. WEEI (AM)
    WEEI (AM) is a Boston-based sports radio station known for its local and national sports talk programming and coverage of New England teams.
  • D. WEEI-FM
    WEEI-FM is a Boston-based sports radio station best known as a flagship broadcaster for Boston Red Sox games and related sports talk programming.
  • E. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d2851c81908129f7da932ab7b3 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d71fa881908c52d2a675b5b7d1 completed March 1, 2026, 9:55 p.m.
NEDg Description generation batch_69a4b6643eb481908c1acc6f6d93aa05 completed March 1, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_69a4b6d923b881908d5ad572be2c2946 completed March 1, 2026, 9:59 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.