Triple

T4593023
Position Surface form Disambiguated ID Type / Status
Subject Western Kentucky University E103538 entity
Predicate hasRadioStation P14095 FINISHED
Object WWHR-FM
WWHR-FM is the student-run campus radio station of Western Kentucky University, broadcasting a variety of music and programming to the university community and surrounding area.
 E454849 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: WWHR-FM | Statement: [Western Kentucky University, hasRadioStation, WWHR-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WWHR-FM
Context triple: [Western Kentucky University, hasRadioStation, WWHR-FM]
  • A. 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.
  • B. WQHT
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • C. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • D. WJZ-FM
    WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
  • E. WTDY-FM
    WTDY-FM is a commercial radio station in the Philadelphia market, known for its contemporary music programming and affiliation with major local broadcaster Audacy, Inc.
  • 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: WWHR-FM
Triple: [Western Kentucky University, hasRadioStation, WWHR-FM]
Generated description
WWHR-FM is the student-run campus radio station of Western Kentucky University, broadcasting a variety of music and programming to the university community and surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WWHR-FM
Target entity description: WWHR-FM is the student-run campus radio station of Western Kentucky University, broadcasting a variety of music and programming to the university community and surrounding area.
  • A. 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.
  • B. WQHT
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • C. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • D. WJZ-FM
    WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
  • E. WTDY-FM
    WTDY-FM is a commercial radio station in the Philadelphia market, known for its contemporary music programming and affiliation with major local broadcaster Audacy, Inc.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593cf8508190acfc6ddb5716e80a completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0d553f08190a56020e1bf8f700d completed March 21, 2026, 12:05 a.m.
NEDg Description generation batch_69bde23bcf608190a476b98df040767a completed March 21, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69bde32acbcc81909a8aa7abec062cee completed March 21, 2026, 12:15 a.m.
Created at: March 20, 2026, 1:11 p.m.