Triple

T3973461
Position Surface form Disambiguated ID Type / Status
Subject Group W E92385 entity
Predicate ownedStation P53258 FINISHED
Object 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.
 E403483 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: WMMR | Statement: [Group W, ownedStation, WMMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WMMR
Context triple: [Group W, ownedStation, WMMR]
  • A. WQHT
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • B. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • C. 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.
  • D. WRBW
    WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
  • 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: WMMR
Triple: [Group W, ownedStation, WMMR]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WMMR
Target entity description: 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.
  • A. WQHT
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • B. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • C. 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.
  • D. WRBW
    WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
  • 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_69b540139c2c819080aa19b13540c76a completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b540ec36a4819082a9cbefc99bd683 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b5416d182c81908b1ae43ed097d288 completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:32 p.m.