Triple

T9747124
Position Surface form Disambiguated ID Type / Status
Subject RKO General E236338 entity
Predicate owned P347 FINISHED
Object KFRC
KFRC is a San Francisco radio station best known for its influential Top 40 format during the 1960s and 1970s.
E817960 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: KFRC | Statement: [RKO General, owned, KFRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KFRC
Context triple: [RKO General, owned, KFRC]
  • A. KSFO
    KSFO is the ICAO airport code for San Francisco International Airport, a major international aviation hub serving the San Francisco Bay Area in California.
  • B. KFWB
    KFWB is a Los Angeles-based AM radio station historically known for its news and talk formats and long-time ownership by Westinghouse Broadcasting (Group W).
  • C. KCRA-TV
    KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
  • D. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • E. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • 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: KFRC
Triple: [RKO General, owned, KFRC]
Generated description
KFRC is a San Francisco radio station best known for its influential Top 40 format during the 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KFRC
Target entity description: KFRC is a San Francisco radio station best known for its influential Top 40 format during the 1960s and 1970s.
  • A. KSFO
    KSFO is the ICAO airport code for San Francisco International Airport, a major international aviation hub serving the San Francisco Bay Area in California.
  • B. KFWB
    KFWB is a Los Angeles-based AM radio station historically known for its news and talk formats and long-time ownership by Westinghouse Broadcasting (Group W).
  • C. KCRA-TV
    KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
  • D. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • E. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f677830819096d388b9c798ecd5 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b00d76488190af68cba694dc329c completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b0f7a68481909de080dd78f883a8 completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b17bd97c8190b77815db5a6a70d9 completed April 5, 2026, 12:49 a.m.
Created at: March 30, 2026, 8:23 p.m.