Triple

T8305844
Position Surface form Disambiguated ID Type / Status
Subject WESH E194460 entity
Predicate sisterStation P15137 FINISHED
Object WKCF
WKCF is a television station serving the Orlando, Florida market, operating as a CW affiliate and sharing common ownership with WESH.
E724756 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: WKCF | Statement: [WESH, sisterStation, WKCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WKCF
Context triple: [WESH, sisterStation, WKCF]
  • A. KJWY
    KJWY is the ICAO airport code for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas, United States.
  • B. CKFM-FM
    CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
  • C. KJLN
    KJLN is the ICAO airport code for Joplin Regional Airport, a public airport serving Joplin, Missouri, in the United States.
  • D. KDFI
    KDFI is a television station serving the Dallas–Fort Worth, Texas market, operating as an independent outlet alongside the local Fox affiliate.
  • E. WQHT
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • 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: WKCF
Triple: [WESH, sisterStation, WKCF]
Generated description
WKCF is a television station serving the Orlando, Florida market, operating as a CW affiliate and sharing common ownership with WESH.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WKCF
Target entity description: WKCF is a television station serving the Orlando, Florida market, operating as a CW affiliate and sharing common ownership with WESH.
  • A. KJWY
    KJWY is the ICAO airport code for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas, United States.
  • B. CKFM-FM
    CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
  • C. KJLN
    KJLN is the ICAO airport code for Joplin Regional Airport, a public airport serving Joplin, Missouri, in the United States.
  • D. KDFI
    KDFI is a television station serving the Dallas–Fort Worth, Texas market, operating as an independent outlet alongside the local Fox affiliate.
  • E. WQHT
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f293db08190912e5e8bb7e940cf completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cda342c10881908ebafc7853815424 completed April 1, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cdab736f208190a90bd4344b21a22c completed April 1, 2026, 11:34 p.m.
Created at: March 30, 2026, 5:54 p.m.