Triple

T16440919
Position Surface form Disambiguated ID Type / Status
Subject WIP-FM E399298 entity
Predicate sisterStation P15137 FINISHED
Object KYW-FM
KYW-FM is a Philadelphia-based radio station best known for its long-running all-news format and role as a primary source of local news and information in the region.
E93374 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: KYW-FM | Statement: [WIP-FM, sisterStation, KYW-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KYW-FM
Context triple: [WIP-FM, sisterStation, KYW-FM]
  • A. KYW (AM)
    KYW (AM) is a long-running Philadelphia-based all-news radio station known for its continuous local news coverage and distinctive “Newsradio 1060” branding.
  • B. KYW-TV
    KYW-TV is a CBS-owned-and-operated television station serving the Philadelphia, Pennsylvania market.
  • C. WBBM (AM)
    WBBM (AM) is a major Chicago-based all-news radio station owned by Audacy, known for its continuous local and national news coverage.
  • D. KDKA-FM
    KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports teams.
  • E. WMAQ (AM)
    WMAQ (AM) was a prominent Chicago radio station historically associated with the CBS-owned Group W broadcasting division.
  • 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: KYW-FM
Triple: [WIP-FM, sisterStation, KYW-FM]
Generated description
KYW-FM is a Philadelphia-based radio station best known for its long-running all-news format and role as a primary source of local news and information in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KYW-FM
Target entity description: KYW-FM is a Philadelphia-based radio station best known for its long-running all-news format and role as a primary source of local news and information in the region.
  • A. KYW (AM) chosen
    KYW (AM) is a long-running Philadelphia-based all-news radio station known for its continuous local news coverage and distinctive “Newsradio 1060” branding.
  • B. KYW-TV
    KYW-TV is a CBS-owned-and-operated television station serving the Philadelphia, Pennsylvania market.
  • C. WBBM (AM)
    WBBM (AM) is a major Chicago-based all-news radio station owned by Audacy, known for its continuous local and national news coverage.
  • D. KDKA-FM
    KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports teams.
  • E. WMAQ (AM)
    WMAQ (AM) was a prominent Chicago radio station historically associated with the CBS-owned Group W broadcasting division.
  • F. None of above.

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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba7fb0c8190a6a872705cd38987 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4971e08190821d6b5aeed05624 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050d46ef48190880a0a59f7e081e5 completed May 10, 2026, 9:33 a.m.
NED2 Entity disambiguation (via description) batch_6a00516c08dc8190bc6dcaa09a20601b completed May 10, 2026, 9:35 a.m.
Created at: April 10, 2026, 5:10 a.m.