Triple

T3973466
Position Surface form Disambiguated ID Type / Status
Subject Group W E92385 entity
Predicate ownedStation P53258 FINISHED
Object WJZ-FM
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
 E407159 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: WJZ-FM | Statement: [Group W, ownedStation, WJZ-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WJZ-FM
Context triple: [Group W, ownedStation, WJZ-FM]
  • A. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • B. WBZ (AM)
    WBZ (AM) is a historic Boston-based AM radio station known for its news, talk, and sports programming and status as one of the oldest broadcast stations in the United States.
  • C. WXRK (New York)
    WXRK (New York) was a New York City FM radio station best known as the longtime home of The Howard Stern Show during its peak popularity.
  • D. WBLS
    WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
  • E. KDKA-FM
    KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports 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: WJZ-FM
Triple: [Group W, ownedStation, WJZ-FM]
Generated description
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WJZ-FM
Target entity description: WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
  • A. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • B. WBZ (AM)
    WBZ (AM) is a historic Boston-based AM radio station known for its news, talk, and sports programming and status as one of the oldest broadcast stations in the United States.
  • C. WXRK (New York)
    WXRK (New York) was a New York City FM radio station best known as the longtime home of The Howard Stern Show during its peak popularity.
  • D. WBLS
    WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
  • E. KDKA-FM
    KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0197a0a0819085d746f51c7fc51b completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c443e208190a8bf83ec642a142e completed March 14, 2026, 11:53 a.m.
NEDg Description generation batch_69b5505592bc8190bedda7df9eef8fa7 completed March 14, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_69b550e241048190aaa72504bc278c98 completed March 14, 2026, 12:13 p.m.
Created at: March 9, 2026, 3:32 p.m.