Triple

T22858266
Position Surface form Disambiguated ID Type / Status
Subject Lu Palmer E566841 entity
Predicate employer P7 FINISHED
Object WGCI radio station NE NERFINISHED

How this triple was built (2 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: WGCI radio station | Statement: [Lu Palmer, employer, WGCI radio station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WGCI radio station
Context triple: [Lu Palmer, employer, WGCI radio station]
  • A. WGCI-FM chosen
    WGCI-FM is a Chicago-based urban contemporary radio station known for airing popular syndicated programs and hip-hop and R&B music.
  • B. WBGG
    WBGG is the ICAO airport code for Kuching International Airport, a major aviation hub serving the city of Kuching in Sarawak, Malaysia.
  • C. WKCF
    WKCF is a television station serving the Orlando, Florida market, operating as a CW affiliate and sharing common ownership with WESH.
  • D. WRNJ radio
    WRNJ radio is a local radio station serving Hackettstown, New Jersey and the surrounding Warren County area with news, talk, and community-focused programming.
  • E. WQBU-FM
    WQBU-FM is a Spanish-language radio station serving the New York metropolitan area, known for its regional Mexican and Latin music programming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebe3f9c8190a864f4e84dc7795d completed April 29, 2026, 3:45 a.m.
Created at: April 17, 2026, 3:37 p.m.